Nicheloom visits: 48,235 all-time · 9,895 in the last 7 days

The opportunity tracker for new startups.

Today: 2,434 launches · Niche of the day: video game mods and managers · See what launched today →

onchain-money-trail-analyzer

Follow stolen crypto hop by hop across Bitcoin, Ethereum, TRON, BNB Chain and Solana. Labels where the money landed, keeps proof for every clue, writes the report.

Get picks like this daily. Today's launch numbers, the top launches, AI and tech news, and a daily opportunity pick, straight to your inbox.

GITHUB · launched Oct 30, 2026 · 173 upvotes (top 9%) · 0 views

Niche: blockchain and crypto analytics tools · 200 launches, 30 in the last 7 days ▲ +36% · Explore this niche →

Category and tags
  • Security
  • Analytics & BI
  • B2B
  • Not AI
  • Commercial product
  • bitcoin
  • blockchain
  • crypto
  • ethereum
  • osint
  • tracing
  • +2 more

Visit website ↗ Source listing ↗

Could you build this?

Partial Multi-chain transaction tracing and report generation are buildable with block explorer APIs and indexers. The hard part is the entity labeling (exchanges, mixers, scam wallets) and evidentiary-grade provenance, which needs proprietary attribution datasets and forensic expertise.

What it would actually take: Build indexers for Bitcoin, Ethereum, TRON, BNB Chain, and Solana, then a graph-traversal engine that follows funds hop by hop and a case-management UI with evidence logging. The core difficulty is the entity-label database (exchange deposit addresses, mixers, known scam clusters), which is typically built from years of investigations or bought from commercial vendors, plus forensic practices that hold up in court.

Competitors

Other products that read as similar to this one : 285 launches clear the similarity bar, closest 8 shown.

Attention rank: #22 of 286 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 255 days after the earliest competitor.

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.