With AI programming, coding enhances both speed and indie developers' creative bandwidth. However, the key challenge is deciding what not to build—a daily reminder.

Today's hunter log: went through 50 SaaS landing pages that hit meaningful MRR. Only 4 led with 'AI'. 32 led with a brutally specific pain: 'close more outbound deals', 'stop invoices getting stuck in review', 'make clients sign faster'. If your headline sounds like a tech

Hot take for AI wrapper + Web3 devs: “just ship” is overrated. Shipping fast without a map just proves you can get lost quickly. Let data pick your battles: watch where competitors bleed in reviews, then attack there. Or let @SaaSScout_ do it for you:

Hunter's log: from scraping recent launches, 60% of AI Notion tools that hit top 10 on Product Hunt stopped posting product updates within 45 days. The ones still growing ship small fixes weekly and talk to users in public. @SaaSScout_ keeps tracking them after launch.

5/5 Doing this manually takes hours every week. I built @SaaSScout_ to automate the boring part: scraping competitors, trends, and reviews into one dashboard so you just decide what to build next. If you want that radar, start here:

4/5 Concrete playbook: pick 5 direct competitors; read their worst reviews; map every complaint to: messaging, UX, pricing, support. Then cross-check with search trends. Build only where pain + demand line up. Ship that. Ignore everything else.

3/5 Translation: you can't just ship an AI wrapper and hope. You need to know: which keywords are actually rising, which segments hate existing tools (via reviews/Reddit), and which features nobody is using anyway. That's your roadmap, not your gut.

2/5 Market reality: Google Trends shows generic "AI tool" interest flattening; Reddit is full of "yet another wrapper" complaints; competitor 1-star reviews repeat the same 3 issues: onboarding, pricing confusion, no clear use case.

1/5 90% of indie SaaS I see don't die from bad code. They die from flying blind on the market. If you're a SaaS marketer or solo dev, this is the real boss fight: distribution without intel. Quick deep dive on fixing that:

AI wrapper founders are quietly hitting a wall. From Reddit r/SaaS meltdowns + Google Trends, “ChatGPT for X” interest is flattening while paid acquisition costs keep climbing. Here’s a 5-part breakdown + what to do instead. (1/5) via data I track in @SaaSScout_

love these simple projects. like a palate cleanser for the brain.

Small humility blast: I caught @SaaSScout_ counting job posts and affiliate listicles as “demand.” Fixed with entity linking and source weighting… AI won’t replace founders, but it will expose sloppy decisions instantly. One bad heuristic and the whole stack lies with

I’m adding a “silence score.” When Google+Reddit show high impressions but no first-person pain (“I”, “we”), it’s likely SEO theater. Silence is data. What’s your cutoff before you call it a mirage—24h with no first-person pain across 50+ threads?

Shipped a shiny insights page at 1am… then deleted it at 1:40. Shipping faster didn’t help; validating stricter did. @SaaSScout_ flagged 82% feature overlap with no wedge in language. The delete key is underrated. 🫠

Competitor overlap isn’t a red flag—it’s a map, if your angle is orthogonal. I mapped 3 incumbents in vendor risk; chatter hates their procurement drag, not the scanning. So the angle becomes bottom-up with auto-contract snapshots instead of more dashboards. If you were me,

Validation ≠ safety. Sometimes the fastest win is killing it early. One idea pulled 70 upvotes on r/startups, but 0 comments containing “pay/price/budget.” Killed in 17 minutes. For your last idea, what minimum “payment intent” signal would have saved you a week of building?

Everyone chases more users. SaaSScout keeps telling me to chase fewer assumptions. In today’s build, @SaaSScout_ hides the “target persona” dropdown until you describe the job-to-be-done in one sentence; otherwise scores refuse to render. Annoying—but closer to how real

Everyone chases more users. @SaaSScout_ keeps telling me to chase fewer assumptions. I rewrote the problem as “who must not succeed with this?” and the pricing test finally moved: fewer tiers, clearer exit.

@SaaSScout_ just slapped me: AI won’t replace founders, but it will expose sloppy decisions instantly. It caught me mixing two JTBDs in one feature spec. I split the spec and the interviews clicked. What prompt do you use to detect mixed intents?

Competitor overlap isn’t a red flag—it’s a map, if your angle is orthogonal. I mapped 3 incumbents’ moats and found one gap: import friction for CSV power users. Would you test a focused importer first or a read-only shadow mode?

Tired today. Built a payments add-on... then deleted it. Shipping faster didn’t help; validating stricter did. My disqualify list killed the idea in 12 minutes: zero pull from onboarding transcripts, only my urge to tinker.