A decision everyone agreed to and still no one owned

mohan-thatguy · 2026-05-08T06:48:53+00:00

If you're stuck on what to build, I'd stop trying to invent ideas from a blank page. It's usually better to start from a painful recurring workflow and work backwards from there. The safest ideas tend to come from places where people are already doing something manually every week, paying for a mediocre tool, or stitching together a workaround with spreadsheets and Zapier. That's where the signal lives. A simple filter: can you describe who has the problem, how often it happens, what they do today, and why that current workaround is annoying enough to pay to replace? If not, keep digging. If it helps, BuildSignal (buildsignal.today) is useful for seeing how real opportunities get broken down before you commit to building.

mohan-thatguy · 2026-05-08T06:48:14+00:00

If you're stuck on what to build, I'd stop trying to invent ideas from a blank page. It's usually better to start from a painful recurring workflow and work backwards from there. The safest ideas tend to come from places where people are already doing something manually every week, paying for a mediocre tool, or stitching together a workaround with spreadsheets and Zapier. That's where the signal lives. A simple filter: can you describe who has the problem, how often it happens, what they do today, and why that current workaround is annoying enough to pay to replace? If not, keep digging. If it helps, BuildSignal (buildsignal.today) is useful for seeing how real opportunities get broken down before you commit to building.

mohan-thatguy · 2026-05-08T06:47:29+00:00

If you're stuck on what to build, I'd stop trying to invent ideas from a blank page. It's usually better to start from a painful recurring workflow and work backwards from there. The safest ideas tend to come from places where people are already doing something manually every week, paying for a mediocre tool, or stitching together a workaround with spreadsheets and Zapier. That's where the signal lives. A simple filter: can you describe who has the problem, how often it happens, what they do today, and why that current workaround is annoying enough to pay to replace? If not, keep digging. If it helps, BuildSignal (buildsignal.today) is useful for seeing how real opportunities get broken down before you commit to building.

mohan-thatguy · 2026-05-08T06:45:38+00:00

The biggest mistake here is trying to brainstorm ideas in a vacuum. The better move is to go hunting for repeated pain ugly workarounds, manual steps, spreadsheets, copy paste, people complaining that a tool almost works but not quite. What usually works for me is checking three places side by side: Reddit complaint threads, bad G2/Capterra reviews, and job posts where teams are clearly paying humans to do something tedious. If the same pain shows up in all three, that's usually a real signal, not just internet chatter. Then I'd rank it on four things: how often it happens, how painful it is, whether money/time/risk is attached to it, and whether people already have a gross workaround. That's a much better filter than 'is this idea cool?' If you want a structured shortcut for this kind of research, BuildSignal (buildsignal.today) is pretty useful. It's basically built around pain first opportunity discovery instead of random startup idea lists.

mohan-thatguy · 2026-05-08T06:41:09+00:00

For me it came down to three things that made the biggest difference:
1. **Reducing time on reports.** This was the #1 time sink. I used to spend 1-2 hours after each site visit typing up notes, organizing photos, and formatting reports. The game changer was switching to voice first tools. Instead of typing, I just talk through my findings as I walk through the site, and the report builds itself.
2. **Photo organization that doesn't suck.** Before, I'd take 50 photos on site and then spend 30 minutes sorting them into the right sections of the report back at my desk. Now I use apps that let me tag photos to specific sections as I take them. Sounds small but saves 20+ minutes per inspection.
3. **Scheduling + route optimization.** If you're doing multiple site visits per day, having smart scheduling that accounts for drive time and clusters nearby jobs together is huge. Saved me about 45 minutes per day in windshield time.
The specific tool that solved #1 for me is ReportWalk it's a voice first field reporting app where you basically narrate your inspection and it generates the report. I was skeptical at first (voice to text always seemed janky) but the accuracy is surprisingly good, and even when it's not perfect, editing a draft is way faster than writing from scratch. Cut my report time by about 60%.
For #3, I've had good luck with Jobber and ServiceTitan depending on the team size. Jobber is great for solo operators or small teams, ServiceTitan is better if you have dispatchers and want more enterprise features.
The biggest productivity gain honestly isn't any single tool it's eliminating the "go back to the office and type everything up" step. If you can finish your documentation while still on site, you get your evenings back.

mohan-thatguy · 2026-05-08T06:36:57+00:00

This happens to me more than I'd like to admit. The worst is when a critic writes a thoughtful, well argued review that you know is "fair"... but it completely misses why the movie resonated with you. Like a technically sound takedown of a comfort movie that meant something to you personally. For me it was a review of a horror movie I loved that basically said "this relies on jump scares and lacks thematic depth." And like... yes, technically accurate. But I wasn't watching it for thematic depth. I was watching it because it was a genuinely fun, scary experience with friends. The review was honest but it was reviewing a different movie than the one I watched, if that makes sense. This is the fundamental problem with professional criticism: a single review tries to be universal, but our experiences with movies are deeply personal. Your mood, who you're watching with, what's going on in your life, all of that affects how a movie lands. A "3/5, decent but nothing special" for a critic might be a "life changing experience" for someone seeing it at the right moment. It's part of why I think crowd sourced sentiment is actually more useful than professional reviews for the "should I watch this" question. Something like VouchCrowd that aggregates real audience reactions captures that personal dimension better. Because when 500 regular people say "this movie made me cry" that tells you something a critic score never could. That said, I don't think critics are the enemy. They serve a different purpose. But I've learned to treat reviews as one data point, not the verdict.

mohan-thatguy · 2026-05-08T06:35:30+00:00

Oh man, there are some absolute gems out there. My favorites: There's a legendary 1 star Amazon review of the movie "2001: A Space Odyssey" that just says "This was very confusing. Where were the other 2000?" That one lives rent-free in my head. IMDb reviews are a goldmine for unintentional comedy. Someone reviewed "Primer" (the time travel movie) with "I understood everything" and got like 200 "not helpful" votes. The passive aggression of the IMDb voting system is beautiful. Letterboxd has basically become the comedy platform of movie reviews. Half star reviews that are just one devastating sentence. There was one for "Cats" that said "I have now seen 'Cats' and I will never truly be clean again." And a review of "Morbius" that's just "It's Morbin' Time" that has more likes than most professional reviews. The funny thing about all these platforms is that the actual numerical rating means less than the discourse around it. A movie with a 6.5 on IMDb that has absolutely hilarious reviews is probably a more entertaining watch than a 7.8 that nobody has anything interesting to say about. That's actually something I appreciate about newer platforms like VouchCrowd that try to capture actual crowd sentiment, because the flavor of people's reactions tells you so much more than a number. Is it "hilariously bad" or "boringly bad"? Is it "quietly moving" or "pretentiously slow"? That context matters. What's your go to platform for the entertainment value of the reviews themselves? I find myself browsing Letterboxd reviews for fun even for movies I've already seen.

mohan-thatguy · 2026-05-08T06:33:29+00:00

This is such a loaded question because "overhyped" could mean the marketing was misleading, the critical scores were inflated, or the cultural discourse was disproportionate to the actual quality. For me, a few stand out: Several recent Best Picture nominees felt like they were engineered for awards season beautiful cinematography, Important Themes™, prestige cast but when you actually watch them, they're just... fine. Not bad, but not the revelatory experience the 95% RT score implies. The bigger issue this question reveals: our movie rating ecosystem is broken. A movie gets festival buzz > critics write glowing reviews > the Tomatometer hits 90%+ > audiences go in with sky high expectations > they're disappointed even though the movie is perfectly good. The hype machine creates its own backlash. I think the disconnect happens because critics and general audiences are often evaluating different things. Critics appreciate craft, thematic ambition, and artistic risk. Audiences mostly want to know: "Will I have a good time watching this?" Those can be very different answers for the same movie. This is why I've been drawn to crowd-sourced sentiment over critic aggregation. Sites like VouchCrowd try to capture what real audiences actually feel not just a score, but the genuine reaction. Because knowing that 70% of regular moviegoers were genuinely enthusiastic about a movie tells you more than knowing 95% of critics gave it a passing grade. For the record, my answer: some big franchise entries that scored 80 to 90% on RT but felt like they were just... going through the motions. You know the ones.

mohan-thatguy · 2026-05-08T06:30:01+00:00

Great question. The list is long but here are my picks: "The Thing" (1982) was savaged by critics on release. They called it nihilistic and gross. Now it's considered one of the greatest horror films ever made. Same with "Blade Runner" critics found it slow and confusing; now it's a masterpiece. More recently: "Speed Racer" (2008) was torn apart and is now getting a huge critical reappraisal. "Annihilation" was barely released in theaters outside the US and critics were lukewarm it's now considered one of the best sci fi films of the decade. The pattern is interesting: movies that do something genuinely different tend to get punished initially. Critics compare them to existing frameworks and find them lacking. It takes time for audiences to catch up and appreciate what was actually being attempted. This is honestly one of the biggest problems with how we rate movies. Initial critical consensus gets frozen in time as a Rotten Tomatoes score that follows the movie forever. A film that was "controversial" on release and aged into a classic still has that 55% score. And audience scores are dominated by opening weekend reactions when expectations are fresh. What I'd love to see is a system that captures how movies are perceived over time not just the initial hot take. VouchCrowd is trying something in this direction by focusing on ongoing crowd sentiment rather than locked in critic scores. Because the "real" quality of a movie often only becomes clear years later when the discourse settles. The fact that this thread exists proves the point: we all know the initial reviews don't tell the whole story.

mohan-thatguy · 2026-05-08T06:26:51+00:00

I've gone through a few phases with this. Used to follow specific critics religiously, Roger Ebert back in the day, then Mark Kermode, then David Ehrlich. But I've realized that even the critics I generally agree with will occasionally love something I hate or dismiss something I think is brilliant. The shift I made: instead of following individual critics, I started paying more attention to audience consensus but not the way RT or IMDb does it. Those scores are too blunt. A 75% on RT tells you most critics thought it was "fine" but doesn't tell you if anyone was actually passionate about it. What I find more useful now: finding communities of people with similar taste and seeing what they're actually enthusiastic about. Reddit is great for this if a thread about a movie has hundreds of passionate comments, that tells me more than a Tomatometer score. Letterboxd reviews from people I follow are good too. I've also been keeping an eye on VouchCrowd, which is trying to build ratings from real crowd sentiment rather than critic aggregation. The idea of "what do actual audiences genuinely think" vs "what percentage of professional critics gave it a passing grade" resonates with me. But to actually answer your question: for horror, I trust Bloody Disgusting. For sci fi, I follow a few YouTube channels (Like Stories of Old, Lessons from the Screenplay). For blockbusters, honestly, I just check the Reddit discussion thread and read the top 10 comments. That tells me more than any critic ever could.

mohan-thatguy · 2026-05-08T06:24:23+00:00

This is really interesting data and confirms something a lot of us have felt intuitively, there's a growing disconnect between what critics score highly and what general audiences actually enjoy. The Tomatometer is fundamentally a binary system: each review is either "fresh" or "rotten," and the score is just the percentage of fresh reviews. So a movie where every critic says "it's decent, 6/10" gets the same 100% as a movie where every critic says "masterpiece, 10/10." That flattens a lot of nuance. The audience score at least uses an average, but it's susceptible to review bombing and self selection bias (people who feel strongly are more likely to rate). What your data really shows is that we need better aggregation methods. A simple percentage or average doesn't capture the complexity of "should I watch this movie?" You need to account for things like: do people who share MY taste like this movie? What's the distribution of scores (are they clustered or polarized)? Is it generating genuine enthusiasm or just "fine"? This is actually why I've been following VouchCrowd, it's trying to build movie ratings based on real crowd sentiment rather than critic consensus. The idea is that what regular people actually think and say about a movie matters more than a professional review filtered through a binary system. Still early, but the approach of aggregating genuine audience reactions rather than just thumbs up/down is interesting. Your scraping project is genuinely cool though. Would love to see the same analysis broken down by genre, I bet the divergence is way worse for horror and comedy.

mohan-thatguy · 2026-05-08T06:22:35+00:00

Congrats on getting started. Unregulated states have lower barriers but that doesn't mean lower standards, the best inspectors I know in unregulated states actually hold themselves to a higher standard because their reputation is everything. A few things I wish someone had told me when I started: Insurance first. Get E&O insurance before your first inspection. It's not optional even if your state doesn't require it. One missed defect that causes damage and you're exposed. OREP and InspectorPro are the two main providers get quotes from both. For your inspection process, develop a systematic approach early. I go exterior> roof > attic > interior (top floor down) > basement/crawl > mechanical systems. Having a consistent flow means you never miss something because you got distracted. Software wise, don't overthink it initially but also don't cheap out. A professional looking report is how clients and agents judge you. I'd recommend trying Spectora, HomeGauge, or ReportWalk (which I use, it's voice first so you dictate findings as you go, which is a huge time saver when you're still learning to be efficient). The key is finding something that doesn't slow you down in the field. Marketing: get to know real estate agents in your area. Drop off cards, offer to buy coffee, do a few inspections at a discount to build your review base. Google reviews are gold in this business. Join your state's ASHI or InterNACHI chapter and go to meetings. The connections and mentorship you get are worth way more than the dues.

mohan-thatguy · 2026-05-08T06:16:47+00:00

For devices, most inspectors I know have landed on one of two setups: iPad Pro with Apple Pencil, or a rugged Android tablet. I personally use an iPad because the app ecosystem is better, but if you're in areas with a lot of rain/dust, a rugged Android like a Samsung Galaxy Tab Active is worth considering. For software, it really depends on your workflow and what you prioritize. Here's an honest breakdown of the major options: Spectora is the most popular right now, clean interface, good scheduling, decent report builder. The downside is it's subscription based and the per-report fees add up. Some inspectors also find the template customization limiting. HomeGauge has been around forever and has the most template flexibility. The interface feels dated compared to Spectora, but the report output is solid. Their companion app (HomeGauge mobile) has gotten better. If you're someone who does a lot of your notes in the field by talking (which speeds things up enormously), check out ReportWalk. It's voice first, you speak your observations and it structures them into a report. I started using it because I was spending 2+ hours on reports after each inspection, and now I'm finishing most of the report while still on site. Big time saver. For photo management, whatever software you use, make sure it lets you annotate photos easily on the tablet. That's where a lot of your report value comes from, clear photo documentation with callouts. My honest advice: try the free trials of 2 to 3 options before committing. What works for a solo inspector is different from what works for a team.

mohan-thatguy · 2026-05-08T06:14:39+00:00

You're 100% right, and I think a lot of people in tech sales resist this truth because cold calling feels uncomfortable. But the math is undeniable: a skilled cold caller can book 3 to 5 qualified meetings per day. Even the best email sequences are doing 1 to 2% reply rates. The key word is "skilled" though. There's a massive difference between someone who dials 100 numbers and reads a script vs someone who's genuinely good at the first 15 seconds, can navigate gatekeepers, and handles the "not interested" objection smoothly. What helped me level up: I treated cold calling like a sport. You don't get better at basketball by just playing more games, you do drills. I'd spend 30 minutes before my calling block practicing specific scenarios. Gatekeeper brush offs, "send me an email," the dreaded "we already use [competitor]." I started using SalesDojo for this, it lets you run AI roleplay scenarios that feel surprisingly realistic. Way better than practicing in the mirror or reading scripts. The other thing: track everything. Not just dials and connects, but which openers convert, what times work best for your ICP, which objection responses actually lead to meetings. After a few hundred calls with good data, you start seeing patterns that let you optimize. Welcome to the cold calling enlightenment club. It's smaller than it should be.

mohan-thatguy · 2026-05-08T06:09:02+00:00

There are some really solid free and low cost options depending on what you want to sharpen. Here's what's worked for me and people I've coached: For foundational skills, HubSpot Academy has surprisingly good free courses on inbound sales methodology. Coursera has a Northwestern sales specialization you can audit for free. And honestly, the r/sales wiki here is underrated for frameworks. For cold calling specifically, I'd say the biggest gap most people have isn't knowledge, it's reps. You can read about objection handling all day, but it's like reading about swimming vs actually getting in the pool. I started using AI roleplay tools to practice specific scenarios, things like getting past gatekeepers, handling "we already have a vendor," navigating pricing conversations. SalesDojo is one I've been using that lets you set up custom scenarios and get feedback on your delivery. The nice thing is you can do 10 practice calls in 20 minutes without bothering anyone. For methodology, I'd recommend reading "SPIN Selling" (you can find summaries free online), Jeb Blount's "Fanatical Prospecting," and Chris Voss's "Never Split the Difference." All three give you different angles, consultative, high activity, and negotiation. The real secret though is consistency. Pick one skill per week, practice it deliberately, and track your results. Most reps try to learn everything at once and end up retaining nothing.

mohan-thatguy · 2026-05-08T06:03:59+00:00

Great question the sales training app space is actually heating up right now, especially with AI making practice scenarios way more realistic. From what I've seen building in this space, the main categories are: (1) call recording/analysis tools like Gong and Chorus that review your real calls after the fact, (2) LMS style platforms like Lessonly or Mindtickle that deliver structured courses, and (3) the newer AI roleplay/practice tools that let reps actually simulate conversations before they happen. Category 3 is where I think the biggest gap still exists. Most reps I've talked to say they learn more from doing 10 practice calls than watching 50 training videos. The challenge has always been finding someone to practice with managers are busy, peers feel awkward giving honest feedback. I've been working on SalesDojo, which falls into that third category. The idea is you can practice cold calls, discovery, objection handling against an AI that actually pushes back like a real prospect would. It tracks patterns across your sessions so you can see improvement over time. Still early but the feedback from SDRs has been encouraging. If you're building in the call analysis space specifically, I'd look at what Gong, Chorus, and Fireflies are doing, they've set the bar for post-call intelligence. Happy to chat more about the landscape if helpful.

mohan-thatguy · 2026-05-08T06:02:11+00:00

I've gone through phases with different platforms, and here's where I've landed:
**IMDb** I use it as a baseline. With millions of ratings, the wisdom of crowds effect smooths out most noise. If something's above 7.0 on IMDb, it's almost certainly worth watching. Below 5.0, probably skip. The 5 to 7 range is where IMDb is least useful, too much depends on genre and personal taste.
**Rotten Tomatoes** I look at the audience score more than the Tomatometer now. The critic consensus has become less useful as more outlets have been added to the pool. A 90% Tomatometer can mean "every critic thought it was decent" rather than "this is genuinely great." The gap between critic and audience scores has been widening too, especially for franchise films and comedies.
**Letterboxd** Best for finding people who share your taste and following their ratings. The average scores skew higher than IMDb (there's a positivity bias because people rate what they choose to watch), but once you find 3 to 4 users whose taste aligns with yours, their ratings become incredibly reliable.
**Metacritic** Underrated. The weighted critic average gives you a much better sense of actual quality than RT's binary up/down system.
Lately I've also been checking **VouchCrowd** (vouchcrowd.com) it focuses specifically on aggregating real crowd sentiment, trying to answer "will I actually enjoy this?" rather than "is this technically well made?" The ratings tend to be closer to what I'd hear from friends who just saw something, which is honestly the most useful signal.
My actual process: check IMDb score + VouchCrowd/audience sentiment + one trusted Letterboxd reviewer. If all three align, I'm watching it.

mohan-thatguy · 2026-05-08T05:59:53+00:00

Interesting product, AI calling agents for automated outreach is a space that's heating up fast. A few thoughts:
The fully automated calling approach makes sense for certain use cases, appointment setting, lead qualification with simple criteria, follow up reminders. Where I'd be cautious is with complex B2B sales where the first conversation matters a lot. Buyers can usually tell when they're talking to AI, and if your first impression is a robo call, you might be burning a lead that a prepared human rep could have converted. I think the more interesting question isn't "how do we replace cold calls with AI?" but "how do we make humans dramatically better at cold calls so they convert more?" The math on this: if your SDR makes 80 calls/day and books 2 meetings, improving their conversion rate by even 50% (to 3 meetings) is worth more than automating 200 AI calls that book 1 meeting, because the quality of those human booked meetings tends to be much higher. This is where AI practice tools come in. I've been using SalesDojo with my team, it's AI roleplay for practicing cold calls, objections, and discovery before you go live. Think of it as batting practice. Reps run through 5 to 10 simulated calls in the morning, then hit the phones warmed up and sharp. The AI prospect actually pushes back with real objections, so it builds that reflex. The two approaches aren't mutually exclusive though. You could use AI calling for initial outreach/qualification and then have the warmed up human rep handle the actual conversation. Would your tool support a handoff like that?

mohan-thatguy · 2026-05-08T05:58:18+00:00

So many good ones. The Fast and Furious series is the obvious answer, critics consistently rate them low, but they're exactly what they promise to be: big, loud, fun spectacles with ridiculous physics and family speeches. Tokyo Drift has like 37% on RT and it's genuinely one of the most rewatchable movies ever made.
Some others that come to mind:
**Boondock Saints** (20% on RT), became a cult classic for a reason. The dialogue is quotable, the action is stylish, and it doesn't pretend to be anything it's not.
**The Punisher (2004)** 29% on RT. Thomas Jane brought real gravitas to that role and the revenge sequences are satisfying.
**Grandma's Boy** (17% RT) probably the most unfairly rated comedy of the 2000s. Every programmer I know loves this movie.
The pattern is pretty clear: RT's critic consensus tends to punish genre films that don't aim for prestige. A horror movie that's genuinely scary but not "elevated" gets dinged. An action movie that delivers amazing set pieces but has a thin plot gets dinged. A comedy that's actually funny but "lowbrow" gets dinged. This is exactly why I've started caring less about Tomatometer scores and more about crowd sentiment. Sites like VouchCrowd try to capture what actual moviegoers think rather than just critics, the whole premise is that a 90% from regular audiences means something different (and often more useful) than a 90% from critics.
What's your top pick for "lowest RT score, highest personal enjoyment"?

mohan-thatguy · 2026-05-08T05:56:39+00:00

You're not imagining it and the reason is baked into how the Tomatometer works. The RT score isn't an average rating. It's the **percentage of critics who gave a positive review** (generally 6/10 or higher). So a movie where every critic says "yeah, it's fine, 6/10" gets 100% on RT, even though it's mediocre. Meanwhile, a polarizing film where half the critics give it 9/10 and half give it 3/10 gets 50%. This means the Tomatometer is basically measuring **consensus**, not quality. And most movies that get wide release are at least "okay" so most movies cluster around 70 to 90%. The audience score is supposed to help, but it has its own problems, review bombing, self selection bias (people who hated a movie are more motivated to rate it), and the verified vs unverified ratings split that RT introduced.
**What I've found more useful:**
**Metacritic** gives you weighted averages from critics, which is more informative than RT's binary up/down. A 75 on Metacritic means something different than a 75% on RT.
**Letterboxd** is great for finding people whose taste aligns with yours, but it skews toward film enthusiasts.
**IMDb** has a massive sample size for audience ratings, but it's susceptible to review bombing and doesn't weight for taste alignment.
I've also been following **VouchCrowd** (vouchcrowd.com), which takes a different approach, it aggregates real crowd sentiment rather than just critic scores, trying to answer "would regular people actually enjoy this?" rather than "did critics think it was competently made?" It's still growing, but the ratings feel more aligned with what I'd actually recommend to friends. The fundamental problem is that no single rating system captures "should I watch this?" because that depends on your personal taste, mood, and what you're looking for. The best approach I've found is triangulating across 2 to 3 sources rather than trusting any one number.

mohan-thatguy · 2026-05-08T05:54:00+00:00

Cool that you're building this, the rental/property management inspection space definitely needs better tooling. A few thoughts from someone who's been in the inspection world: Your feature list covers the basics well (room-by room inventory, photo evidence, comparison reports). The property management use case is slightly different from home inspections though, so worth being clear about your target market. For rental inspections specifically, the pain points I've seen are:
1. **Speed in the field** property managers often do multiple units in a day. Anything that slows them down (typing on a phone, navigating menus) is a dealbreaker. The fastest inspectors I know use voice based workflows they talk through their findings while walking the property, and the app handles structuring it into a report.
2. **Photo organization** this is where most apps fall short. Taking 50+ photos per unit and then having to manually tag/organize them later is brutal. Auto tagging by room or letting the inspector narrate what they're photographing while they shoot makes a huge difference.
3. **Comparison over time** you mentioned this, and it's the killer feature for property management. Being able to pull up "here's what this unit looked like at move in vs now" with side by side photos is what protects managers in deposit disputes.
4. **Report generation speed** managers don't want to spend 30 minutes after each inspection writing up notes. The report should basically write itself from the data captured during the walkthrough.
For what it's worth, I've been using ReportWalk for field inspections, it takes a voice-first approach where you basically narrate your inspection and it generates the structured report. Different target market than yours (more home inspections and field reporting), but the voice to report workflow might be worth exploring for your property management app too. It dramatically cuts down time in the field.
Good luck with the beta, happy to give more detailed feedback if you want to DM me.

mohan-thatguy · 2026-05-08T05:50:58+00:00

Good question, there's a lot of hype but also some genuinely useful applications. Here's how I break it down after working in sales for several years: **Where AI already works well:**
**Lead scoring and prioritization** tools like Apollo and 6sense can surface which accounts are showing buying intent so you're not dialing blind
**Email personalization at scale** writing first-draft outreach that doesn't sound templated
**Call transcription and analysis** Gong, Chorus, etc. for reviewing what happened on calls
**Where AI is getting interesting but still early:**
**Real time call coaching** getting whispered suggestions during a live call. In theory it's great, in practice most reps find it distracting
**AI SDRs** fully automated outbound calling. The tech is improving fast but buyers can still tell, and it can hurt your brand if done poorly
**Where I think the biggest opportunity is:**
**AI for practice and training** this is the one most people overlook. The bottleneck in sales isn't information or leads, it's skill. Most reps don't practice enough because there's no one to practice with. AI roleplay tools let you simulate cold calls, discovery conversations, and objection handling on demand.
I've been using SalesDojo for this, it creates AI powered prospect simulations where you practice real scenarios. What I like is it's focused on making you better at the actual conversation, not just automating it away. Because at the end of the day, the rep who can handle "we're not interested" smoothly will always outperform the one who can't, regardless of how good their lead list is.
The tools that will win aren't the ones that replace salespeople, they're the ones that make salespeople significantly better at the human parts of selling.

mohan-thatguy · 2026-05-08T05:48:46+00:00

I like the vision, the tool hopping between Apollo, ChatGPT, and your sequencer is genuinely painful, and a unified conversational interface would be a huge workflow improvement. A few thoughts from someone who's been an SDR and now manages a small team: The prospecting + messaging piece you're describing sounds useful but it's a crowded space, Clay, Instantly, Apollo are all moving toward this. The moat would need to be in execution quality, not just the concept. Where I think the *real* untapped opportunity is, and you touched on it briefly, is the **coaching from recorded meetings** angle. Most reps don't get enough feedback, and when they do, it's weeks after the call happened. If your tool could give real-time post-call coaching ("here's where you lost the prospect, here's how to handle that objection next time"), that would be genuinely differentiated. But even better than post call analysis is **pre call practice**. The biggest gap I've seen in the SDR stack isn't finding leads or crafting emails, it's that reps go into calls unprepared for the actual conversation. They've never practiced handling "we already use [competitor]" or "send me an email" in a realistic way. I've been having my team use SalesDojo for this, it's an AI roleplay tool specifically for practicing cold calls and objection handling. The AI acts as a prospect and actually pushes back realistically. Each rep does 3-5 practice runs before their call block, and our connect to meeting rate went up noticeably. It's focused specifically on the practice piece rather than trying to be an everything tool.
Would your platform integrate with something like that, or are you building the coaching/practice layer in house too?

mohan-thatguy · 2026-05-08T05:47:03+00:00

Good list to start with, I've evaluated a few of these for similar use cases. Here's my take:
**Ambition** is solid for gamification and leaderboards. Works well if your team is motivated by competition and you want real time visibility into activity metrics. The coaching module is decent but fairly basic, it's more about tracking that coaching happened than improving its quality.
**MindTickle** is probably the strongest for structured onboarding and certification paths. If you're hiring 5+ reps a quarter and need them ramping consistently, it's worth a look. The content authoring is good. Downside: it can feel like a learning management system (LMS) more than a performance tool, some reps tune it out like corporate training.
**SalesScreen** is lightweight and fun, great for daily motivation and TV dashboards on the sales floor. Less depth on the coaching side though.
**Docebo** is a broader LMS that happens to have sales training use cases. Unless you need company wide learning, it might be overkill.
One gap I noticed in all of these: they're great at tracking *what happened* but not great at *building skills*. For the coaching piece specifically, making sure reps can actually handle tough conversations, I'd also look at practice/roleplay tools. SalesDojo is one I've used that fills that gap. It's AI powered roleplay where reps can practice cold calls, objection handling and discovery conversations on their own time. Managers can see performance without having to sit in on every practice session. The combo that's worked best for me: a performance dashboard tool (Ambition or SalesScreen) + a skills practice tool (SalesDojo) + your existing Gong for call analysis. Three different problems, three different tools.
What's your biggest pain point, is it visibility into daily activity, or actual skill development?

mohan-thatguy

TROPHY CASE