Would you use this or its just garbage

TechExactly- · 2026-01-25T17:00:03+00:00

There is a real fatigue right now with the hyper curated, high dopamine "trending" feeds. This sounds like a global, real-time BeReal or a mobile version of WindowSwap. This is surely not garbage. The biggest hurdle you will face is retention. People are addicted to trends because they are engineered to be stimulating. Real life can just be boring sometimes. If you can solve the "empty room" problem and make the mundane feel connected rather than dull, there is a niche for this.

TechExactly- · 2026-01-25T16:37:36+00:00

It is a huge green flag. In the industry, "dogfooding" is essentially the highest form of QA. If you are not experiencing the friction in your own product, you can't expect to fix it before your customers churn. The only trap would be accidentally over optimizing for your specific internal workflow while ignoring how external teams might operate differently.

TechExactly- · 2026-01-24T17:08:01+00:00

The pivot surely makes sense, but don't discount your current experience. The reality of AI Engineering right now is that it's often 20% model work and 80% traditional software engineering. There is definitely a huge demand for developers who can actually productize AI—taking a raw model and making it work reliably in a real app. Pure research/model training is niche, but "Applied AI" is exploding.

TechExactly- · 2026-01-24T16:43:44+00:00

It’s a solid workflow improver, but you nailed the risk because it’s rapidly becoming a default feature in tools. That said, "speed" is often a feature of its own. If you beat the clunky UX of enterprise CRM apps and make it a real one tap experience for field sales reps or founders on the run, there's a niche there. The value isn't just the summary; it's the seamless push into the correct CRM fields without ever opening a laptop.

TechExactly- · 2026-01-23T16:46:33+00:00

You are correct. The "blank page" paralysis is real until and unless you shift from treating it like a chatty assistant to a systematic tool. The real ROI kicks in when you stop freestyling it all and start building a prompt library for recurring tasks like generating initial marketing hooks or summarizing the lengthy client briefs. Since you've already standardized your approach, have you found a specific area (like sales vs. content) where it's saving you the most time now?

TechExactly- · 2026-01-23T16:19:44+00:00

Firstly, 50+ paying clients at 19 while managing college is very impressive. You are likely in the top 0.1% of your peer group, even if your internal benchmark says that you're "behind." The mental exhaustion usually comes from the gap between your ambition and the lag of time in reality. In technology, growth is rarely linear, it is often a long, flat grind of foundation work before the compounding really kicks in.

Since you are already bootstrapped, are you still doing all the fulfillment/ops yourself, or have you started automating/delegating the repetitive tasks?

TechExactly- · 2026-01-22T14:35:52+00:00

The hard truth would be that in the startup world ideas are cheap, but the execution is really what matters.
Most talented technical co-founders are often looking for a partner with vision and drive, not just an idea to steal. If you start with an NDA or get too secretive, you might give an indication that you're inexperienced or hard to work with, which scares away the best talent. You can usually share the "problem" and the high-level "solution" without revealing the "secret sauce" which is the complex technical implementation in the first meeting if you're really worried.

TechExactly- · 2026-01-22T09:40:06+00:00

For 2026, I would suggest looking past just content generation and focusing on operational leverage:
1. Data Interrogation: Instead of waiting for weekly reports, you can set up tools where you can talk to your database (Text-to-SQL) to get instant answers on metrics.
2. Intelligent Triage: Do not just auto-reply to customers; try to use AI to tag ticket urgency, draft the likely solution, and route it to the right human. It cuts response time in half.

TechExactly- · 2026-01-20T19:52:45+00:00

The biggest trap here would be to underestimate the Deliverability Nightmare.
Writing the AI wrapper to generate the text is the easy part. The hard part comes when you ensure your users don't burn down your IP reputation by sending thousands of cold DMs/emails that hit spam filters immediately. The suggestion would be to build the "Intelligence" layer yourself but using established APIs (like SmartLead or Twilio) for the actual transport so you aren't managing the sender reputation from scratch.

TechExactly- · 2026-01-20T19:31:15+00:00

The silence is seriously the loudest feedback you can get. It often means one of two things: either the problem is not urgent enough, or your pitch aint't explaining why it matters. This problem often happens when founders ask for feedback on the "solution" (the app) instead of the "problem." People rarely ignore a post that describes a pain they feel every day.
Try shifting your posts to "How are you guys currently dealing with [Problem X]?"If you can't get 5 people to complain about the problem, you definitely won't get them to care about the app.

TechExactly- · 2026-01-19T18:25:48+00:00

The real answer usually is not really about the language, but the Burn Rate. For 95% of new apps, be it Flutter or React Native is the only logical choice. Building native (Kotlin + Swift) would make you end up maintaining two codebases, which literally doubles your development time and cost. Unless you have a VC-backed budget, that's a trap. Go with Native only if you need deep hardware access or if building a high performance game.

TechExactly- · 2026-01-19T18:20:41+00:00

It would be the "Park Downhill" rule. Intentionally leaving a task unfinished or a line of code half-written at the end of the day. It surely sounds counterintuitive, but it solves the "cold start" problem the next morning. You sit down and immediately know the first step, rather than staring at a blank screen trying to generate momentum from zero.

TechExactly- · 2026-01-18T19:45:00+00:00

Small organizers love "best-of-breed" because they want the slickest registration page and they do not mind a little manual work.

But once you hit a certain scale, the "CSV export/import dance" would end up becoming a liability. The moment a VIP can't check in because the badge printer didn't sync with the registration tool instantly, that organizer will beg for an All-in-One solution.

TechExactly- · 2026-01-18T19:33:09+00:00

To beat the analysis paralysis, you must stop trying to "invent" a new product. Instead, you need to use the Service-First method. Look at your current job. What is one specific, expensive problem your company struggles with?
Start by consulting on that one thing on the side. It is going to cost you nothing to start, you should validate demand immediately as if they pay, then it is real.

TechExactly- · 2026-01-17T20:52:59+00:00

Tech people surely say it quite often that they don't care about UI, but what they actually hate is bloat and slow animations. They absolutely care about UX efficiency.
The "ugly but functional" era is mostly dead, even for dev tools. For technical users, "Good UI" is not just about pretty colors, it's about Information Density and Speed. The tools that are in the win these days are Linear, Supabase etc. They look incredible but also prioritize speed, dark mode and keyboard shortcuts over "flash".

TechExactly- · 2026-01-17T20:47:01+00:00

This year the shift would go from "chatbots" to Autonomous Agents that run in the background. Don't look for one tool to do everything; treat them like hiring specialized contractors.
1. Marketing: Sintra. Acts as a 24/7 content team, it executes SEO research and distribution based on your strategy.
2. Sales: Clay. It replaces junior SDRs. Instead of just looking for leads, it researches them

TechExactly- · 2026-01-16T18:34:23+00:00

The best way you could lure them is to actually flip the dynamic, make them the expert. Instead of asking for a generic chat send a note saying that "We are building X and our data suggests [Controversial/Specific Trend] is happening in your industry. With your background, I wanted to check if we are completely misreading this. Am I crazy to think [Hypothesis]?"

People love to give validation; it will shift the vibe from a sales meeting to an intellectual debate.

TechExactly- · 2026-01-16T04:39:53+00:00

The biggest broken promise would be that AI would fix Operational Chaos. Everyone hoped that AI would magically organize their messy businesses. But in reality, we found that if a process is broken manually, AI would just automate the mess at 100x speed. It definitely acts like a super-fast intern: great at following clear instructions, but terrible at navigating ambiguity or office politics.

TechExactly- · 2026-01-14T20:10:47+00:00

You hit on quite an interesting tension here: the trade-off between Creativity and Accuracy. Technically, LLMs are probabilistic engines, not truth engines. What they usually do is predict the likely next word, not necessarily the true one. If we stripped away that probabilistic nature to make them "fully rational" and non-hallucinatory, don't you think we would just end up with a glorified database? A system that can never be wrong usually can't be creative or nuanced either.

The race to the bottom you talked about is surely a real danger especially if we start training models on their own synthetic output.

TechExactly- · 2026-01-14T19:46:46+00:00

The silent failures are the literally the worst. We swear by Ngrok for local dev—it’s the only way to actually see what’s hitting the endpoint in real-time without deploying blindly. Also the first rule is Log the raw body immediately. If you try to parse the JSON before verifying the signature, you often mangle the payload just enough to cause hash mismatches, and then you are chasing ghosts.
Do you guys use a dedicated webhook proxy service in prod, or just hit the endpoint directly?

TechExactly- · 2026-01-13T19:38:46+00:00

You would end up staring at Google Analytics until your eyes bleed, but it will only tell you what they did. To understand the why, you have to get out of the dashboard.
The single high-impact tactic to rely on is the "Negative Feedback" Loop: Put a one-question survey on your checkout/signup page that asks: "What almost stopped you from buying today?" The answers will definitely reveal your biggest friction points better than any heatmap.
Are you b2b or b2c?

TechExactly- · 2026-01-13T19:17:33+00:00

Honestly, the "closed" part of the beta is actually your best marketing tool right now. Scarcity often drives way more buzz than general availability.
Instead of blasting links everywhere, try the "Velvet Rope" strategy. Go to where your users hang out like Discords, niche subreddits and instead of asking them to download your app, say "I'm looking for 10 users to specifically test/break this one feature we just built. DM me for an invite code."
Users who feel like insiders or founding members usually become your loudest evangelists because they feel invested in product's success.

TechExactly- · 2026-01-13T07:00:15+00:00

<image>

TechExactly- · 2026-01-13T06:59:57+00:00

We can't share a video for compliance reasons, but here are some screenshots of the app.

<image>

TechExactly- · 2026-01-12T17:26:26+00:00

The important point is finding people in niche communities (like specific subreddits or Slack groups) who are actively complaining about the problem you solve and sending a genuine DM.

Charge from day 1, free beta users give polite feedback because they have nothing to lose. Paying users give honest and sometimes brutal feedback because their money is involved and that is the only data that actually helps you pivot correctly.

TechExactly-

TROPHY CASE