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Hit 7,900 AI-scored opportunities in the DB (and found 4 competitors to myself)

1 month building solo. Goal: kill the "brainstorming startup ideas" loop
where every thread on r/SaaS is mostly noise.

What I built (in ~30 days of heads-down coding):

A pipeline that scrapes ~5k posts/day from Reddit, Hacker News, and X → AI
extracts repeated complaints + workarounds people already hack together →
clusters into opportunities → scores each on 11 axes (pain, urgency,
willingness to pay, market size, defensibility, timing, etc.) → generates
MVP roadmap + initial risks + competitor landscape.

Everything free to browse, no signup: monetscope.com

The numbers today:

• 7,963 opportunities in the DB
• Bluesky: 2 likes overnight on a 10-post thread (brand new account,
0 followers) 😅

3 things that surprised me:

  1. Hacker News > Reddit as a signal source. A 500-comment HN thread often
    beats 20 Reddit posts on the same problem. Reddit looks louder; HN is denser.

  2. "Confidence score" became my most-used filter. Opportunities with high
    overall score but low confidence (<0.7) turned out to be landmines — the AI
    hallucinated a trend from 2 posts. I now trust confidence more than the
    pretty "8.5/10 pain" label.

  3. We found 4 competitors to MonetScope in our own scan. Including one
    called "IdeaScore: AI Side Project Viability Validator." Our scanner
    validated us showing up as a validated opportunity. Existential lol.
    monetscope.com/discover/ideascore-ai-side-project-viability-validator

What's next:

• "Who should I interview first" feature — evidence is there but not yet
packaged into an actionable validation shortlist
• Weekly digest: which subreddits / HN topics are heating up this week

Stack: Next.js 14 + .NET 8 + PostgreSQL + pgvector + OpenAI (extraction)

  • Grok (deep analysis)

Honest state: Revenue is tiny, distribution is the bottleneck. Classic
indie mistake — spent 30 days building, 0 days selling. This post is me
leaning into that.

Feedback genuinely wanted. Especially if MonetScope shows up in your own
scan one day — I'd love to know what's missing.

posted to Icon for group Building in Public
Building in Public
on April 23, 2026
  1. 1

    The interesting product angle here might be that “confidence” ends up mattering more than raw opportunity score.

    That feels like the difference between a cool idea browser and an actual decision tool. If you lean into that, MonetScope starts looking less like idea discovery and more like risk-filtering for founders.

    1. 1

      Wonsik — genuinely the sharpest reframe I've gotten on this product.

      You're right that most founders don't need more ideas — they need a reason to kill 19 of their 20 half-formed ones. "Risk filtering for founders" is cleaner than anything on my current landing page.

      One tension I'm sitting with: confidence is already a composite internally, not a single number. A card can look high-confidence on the headline while one underlying pillar is quietly weak — which is exactly the "idea browser" failure you're pointing at, just one layer down. The UX probably needs to surface that decomposition, not hide it.

      What framed this for you? You building in adjacent territory?

  2. 1

    Benjian, building a pipeline that prioritizes "confidence scores" over noisy sentiment labels is a masterclass in actual market signal processing. By moving past surface-level scraping to multi-axis scoring and competitor mapping, you've turned MonetScope into a high-utility engine that effectively kills the "manual brainstorming" trap for solo founders.
    I’m currently running Tokyo Lore, a project that highlights high-utility logic and validation-focused tools like yours. Since you’re building the definitive platform for quantifying market opportunities, entering MonetScope could be the perfect way to turn your own validation journey into a winning case study while your odds are at their absolute peak.

  3. 1

    Happy to answer anything about the pipeline, the scoring dimensions,
    or how I pick which signals to cluster into an "opportunity" vs. just
    noise.

    Also curious — if anyone here has tried mining community discussions
    for startup signals, what sources worked best for you? I was surprised
    how much cleaner HN ended up being vs Reddit.

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