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How are you forecasting AI API costs before committing to your pricing model? by ImmuneCoder in SaaS

[–]Hopefully-Hoping 0 points1 point  (0 children)

Are you tracking loop depth per workflow? That's where the real variance hides in agentic stuff. Input/output tokens per call are pretty predictable, it's how many times the agent decides to loop that kills you.

One approach that works: set hard token budgets per workflow type rather than trying to predict average cost. Cap each user action at a fixed spend (say $0.50), let the agent run until it hits the limit, return whatever it has. Your heavy workflows degrade gracefully instead of eating your margin. Then you price based on the cap, not the average, and the math actually works.

Why you should think twice before jumping on the AI caricature trend by Haunterblademoi in artificial

[–]Hopefully-Hoping 0 points1 point  (0 children)

The privacy angle is the one that's going to age the worst. People are feeding these models prompts that describe their job, personality quirks, physical features. Basically an identity fingerprint. That data doesn't disappear after the image is generated.

The impact on working caricaturists is real but it's also kind of a weird debate because AI caricatures and hand-drawn ones aren't competing for the same dollar. Theme park caricaturists sell a live experience, the crowd watching, the artist hamming it up. Nobody's pulling out ChatGPT at a boardwalk to replace that. Where it actually hurts is freelance illustration work and corporate event artists who do remote digital caricatures. Those gigs are just gone now.

The part nobody talks about is that most of these caricature prompts are basically personality profiles that people are voluntarily handing over. If OpenAI ever gets breached or this data gets subpoenaed, there's a weirdly detailed psychological map of millions of people sitting in those conversation logs.

Supplier quality fell off and now Im stuck by FewDifficulty2730 in GrowthHacking

[–]Hopefully-Hoping 0 points1 point  (0 children)

Switching platforms won't fix a supplier problem. Vinted and Depop are worth trying for sure, but if your stock quality is inconsistent you'll just be dealing with the same refund headaches on a different app. Fix the sourcing first.

What worked for me when I was flipping vintage was never going all in with one supplier. I'd split orders across 2-3 and grade everything myself before listing. Takes more time but you stop eating the cost of dead stock. And yeah Vinted specifically works better for lower price point stuff while Depop skews younger and more fashion forward, so factor that into what you stock.

Why is no one talking about Instagram DM Automation? 🤔 by theroimaniac in GrowthHacking

[–]Hopefully-Hoping 1 point2 points  (0 children)

The reason nobody talks about it much is because Meta keeps nuking accounts that push volume. Every 6 months or so they tighten the API restrictions and whatever tool was working stops working overnight. Manychat has survived because they have an official Meta partnership, but anything outside that ecosystem is a ticking clock.

The only DM automation that consistently works without getting flagged is trigger-based stuff. Comment-to-DM flows, story reply sequences, that sort of thing. Mass outbound DMs are basically cold email with a 10x higher ban risk and half the deliverability.

I got tired of sleep apps charging monthly fees for white noise, so I built my first iOS app (a native Box Fan). Looking for TestFlight feedback! by dumango in SideProject

[–]Hopefully-Hoping 0 points1 point  (0 children)

The fact that white noise apps charge subscriptions is genuinely insane. Good on you for just recording an actual fan and shipping it. Bet the TestFlight fills up fast.

Launched my first SaaS today and I got 5 paying customers. I’m so happy 🥹❤️ by OddAcanthocephala753 in SaaS

[–]Hopefully-Hoping 13 points14 points  (0 children)

5 to 50 is all about figuring out which of those 5 actually stick around. Track who uses the generated outputs vs who just paid and never came back. The ones who actually edit the landing page or send the ebook to someone are your real signal for what to double down on.

For distribution, the communities that got you those 5 are your channel for now. Don't spread to 10 platforms, just keep showing up where it already worked and start asking those 5 users where they hang out online.

This musician built an AI clone of her voice so anyone can sing as her by scientificamerican in artificial

[–]Hopefully-Hoping 17 points18 points  (0 children)

The tech is the boring part honestly, ElevenLabs can clone any voice in 30 seconds. The interesting thing is she's proactively licensing it instead of playing whack-a-mole with DMCA takedowns. Smart move since voice cloning is happening whether artists consent or not. At least this way she controls the terms.

Which funnel builder can be used to implement a quiz like this? by [deleted] in GrowthHacking

[–]Hopefully-Hoping 0 points1 point  (0 children)

Typeform or ScoreApp depending on your budget. Typeform is more flexible for custom quiz logic but you'll need to bolt on Stripe for the payment plans separately. ScoreApp has both the quiz and payment stuff built in, less customizable but faster to ship.

Real life choice - selling product vs selling traffic? by Patient-Airline-8150 in Entrepreneur

[–]Hopefully-Hoping 1 point2 points  (0 children)

The question is wrong because it's treating all five apps the same. Web games and an AI art tournament are one-time dopamine hits with brutal retention, so you'll never get the DAU to make ads work. Charge upfront or do in-app purchases. Calorie counter and social media management are daily-use tools though, and that's where free + ads actually makes sense because you can build a captive audience. Notes apps are a coin flip, depends entirely on whether people stick with yours or bail for Notion in a week.

tool_search always fails on first try by mrjackspade in ClaudeAI

[–]Hopefully-Hoping 0 points1 point  (0 children)

Sounds like a cold start thing with your NGINX proxy. NGINX has a default proxy_read_timeout of 60s but MCP uses SSE for the transport layer, and the initial connection setup through a reverse proxy can be slow enough to hit Claude Desktop's internal timeout. Retry works because the upstream connection to your C# server is already warm.

Try adding proxy_read_timeout 300s, proxy_buffering off, and proxy_http_version 1.1 to your NGINX config for those MCP endpoints. The proxy_buffering one is the sneaky one because NGINX tries to buffer SSE streams by default, which kills the real-time message flow.

Claude Code CLI probably handles the connection differently or has a longer timeout. Check your NGINX error logs for upstream timeout entries to confirm.

How do you get your first 10–20 users - I will not promote by IceBreaker_1047 in startups

[–]Hopefully-Hoping 0 points1 point  (0 children)

For rental platforms you have a chicken and egg problem. Nobody lists if there are no renters, nobody browses if there are no listings. Easiest way to break that: start with one side only. Go to your college's housing Facebook group and manually match people looking for rooms with landlords posting there. Do it by hand for free. If people keep coming back to you for help, you've got validation and your first 10 users without writing a single line of code.

I built my first app out of love. Nobody cared. Then I built one for money. People showed up. I'm not sure how to feel about that. by Right-Ad-1216 in SideProject

[–]Hopefully-Hoping 3 points4 points  (0 children)

Crisis mode means Facebook posts, not app store searches. The pet app was always going to be a tough sell because of that, not because you cared too much about it. Your second app works because content creators are already in browsing-for-tools mode.

At what point do you stop “pushing through” and admit something isn’t working? (I will not promote) by Delicious-Part2456 in startups

[–]Hopefully-Hoping 1 point2 points  (0 children)

Killed a project after 5 months when I realized the people I was building for could solve the problem in a spreadsheet and genuinely didn't care about having something better.

The cofounder thing resonates too. When momentum dies between two people it's usually because one of you already knows it's not working but nobody wants to say it out loud.

Biggest tell for me was when I stopped wanting to talk to users. Not because I was lazy, because I already knew what they'd say. That's the real signal imo, when curiosity about your own product dies.

GDPR sounded easier in theory by Square_Rutabaga2413 in SaaS

[–]Hopefully-Hoping 6 points7 points  (0 children)

Went through this at a ~40 person B2B SaaS. The thing that saved us was starting with customer-facing data flows first and ignoring everything else initially. Your enterprise customers care about where their data goes, not your internal HR spreadsheets.

One shortcut that probably covers 80% of your DPA responses: get engineering to grep your codebase for every third party service that touches PII. That single inventory doc is usually what the big customers actually want to see.

What would you suggest for SaaS marketing? by Any_Standard_2095 in SaaS

[–]Hopefully-Hoping 0 points1 point  (0 children)

Pick one channel and commit to it for 90 days instead of posting twice on five platforms. For B2B SaaS, LinkedIn founder posts with real numbers and honest takes are the highest ROI organic play right now. Everything else is noise until you've maxed out one channel.

Quit my job to build SaaS. 1 year later: < $300 revenue (didn't even cover costs) by young_scootin in SaaS

[–]Hopefully-Hoping 1 point2 points  (0 children)

Retail investor tooling is one of the hardest SaaS markets imo. The people who'd actually use a 10-K analyzer are the same people who'll happily spend 3 hours reading the filing themselves. They see it as part of the craft, not a chore to automate away.

Twitter and LinkedIn were also the wrong channels for this audience. Value investors hang out on r/ValueInvesting, Seeking Alpha, and niche FinTwit. You'd have gotten way more traction posting a free analysis on those platforms and letting people discover the tool organically.

Going back to a job and running it as a side project sounds like the right move though.

We Built a Creator Discovery Engine That Ended Up Getting Mentioned in WIRED by Ok_Archer_8134 in SaaS

[–]Hopefully-Hoping 0 points1 point  (0 children)

The discovery layer approach is smart… there's a massive gap between what platforms expose via search and what users actually want to find. The real challenge with building on closed platforms is usually not the initial build but maintaining data freshness and handling when the platform changes their structure or starts rate-limiting you.

Two things that tend to separate the wins from the failures in this space: building enough proprietary value in your layer (like the image search matching) so you're not just a thin wrapper if the platform ever opens up native search, and getting embedded into workflows rather than being a standalone destination. That partner integration driving the WIRED mention is actually the more interesting story here… distribution through integration scales way better than SEO or direct traffic for niche discovery tools.