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LookSteady

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PH · launched Nov 7, 2026 · 2 upvotes (top 19%) · 0 views

Niche: fraud and scam detection software · 151 launches, 9 in the last 7 days ▼ -57% · Explore this niche →

Category and tags

  • Security
  • B2C
  • AI-native
  • Commercial product
  • Privacy
  • Artificial Intelligence
  • Family

Visit website ↗ Source listing ↗

Could you build this?

Partial The UI, photo upload, and alert flow are easy to vibe-code and a vision LLM can produce the verdict, but reliable scam detection needs a curated scam dataset and evaluation that a solo builder won't have by default.

What it would actually take: Build a mobile or web client with photo capture, send images to a vision-capable LLM or OCR pipeline, and return structured risk assessments with a family-alert notification flow. The hard part is accuracy: it needs a labelled corpus of real scam messages, regional phishing patterns, and continuous evaluation to keep false positives and negatives acceptable. Expertise in fraud and security, plus ongoing data collection, is what separates a demo from a dependable product.

Competitors

Other products that read as similar to this one : 335 launches clear the similarity bar, closest 8 shown.

Attention rank: #30 of 336 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 320 days after the earliest competitor.

  • AskFirst · ph · 2026-10-28 · 1 upvotes · similarity 0.62
  • Fraud Angel · ph · 2026-10-18 · 1 upvotes · similarity 0.61
  • Is This Legit? · ph · 2026-10-14 · 2 upvotes · similarity 0.47
  • SEN6TIF · ph · 2026-10-21 · 1 upvotes · similarity 0.45
  • The Lost 'N Found · ph · 2026-10-13 · 1 upvotes · similarity 0.45
  • Legitly · ph · 2026-11-12 · 2 upvotes · similarity 0.45
  • FileCheck · ph · 2026-09-25 · 1 upvotes · similarity 0.44
  • ScamOrNot · ph · 2026-10-31 · 1 upvotes · similarity 0.44

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.