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Tarang

Trace Transactions. Connect Parties. Follow the Funds

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Tarang traces money across thousands of accounts, following every split until it hits cash, a payment, or a dead end. It links transfers only via complete reference matches, never guesses. Flags mule and high-risk accounts, overseas and crypto activity, cash use, in minutes for ~1,000 accounts. Reports leads, never fraud. Existing tools cost Rs 5L; I built this myself with Claude, no coding background.

PH · launched Sep 20, 2026 · 1 upvote (top 69%) · 0 views

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

Category and tags
  • Fintech
  • Compliance & governance
  • B2B
  • Not AI
  • Commercial product
  • Fintech
  • Analytics

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More like this: all 151 launches in fraud and scam detection software →

Could you build this?

Partial While an interface displaying fund transfers is straightforward, high-speed transaction tracing, entity resolution, and mule detection across thousands of accounts require specialized graph data engineering and AML domain knowledge.

What it would actually take: The architecture requires a dedicated graph database (such as Neo4j, Amazon Neptune, or Memgraph) optimized for pathfinding and cycle-detection algorithms across massive financial ledgers. Building the analytical engine requires translating financial crime typologies (structuring, layering, mule rings) into algorithmic heuristics and deterministic reference matching rules, which demands specialized forensic accounting and AML compliance expertise.

Competitors

Other products that read as similar to this one : 261 launches clear the similarity bar, closest 8 shown.

Attention rank: #204 of 262 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 321 days after the earliest competitor.

Related data

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