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Overhear

Hear every mention of your brand. Pay per scan, not monthly

Visit website ↗ Source listing ↗

PH · launched Oct 24, 2026 · 5 upvotes (top 6%) · 0 views

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About
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Overhear watches X, Reddit, LinkedIn, YouTube, Hacker News and the web for your brand, competitors and keywords, even when nobody tags you. AI sorts each mention into complaints, questions, praise and people asking what to buy, and emails you the urgent ones. You set the pace per source, from hourly to daily. No subscription: buy prepaid credits from $10, one scan costs 1-3 credits, credits never expire. 1,000 free credits to start. Built in Rust, self-hostable.

  • Marketing
  • Analytics & BI
  • B2B
  • Not AI
  • Commercial product
  • Social Media
  • Analytics
  • Marketing

Could you build this?

Partial Scheduling, classification of mentions with an LLM, and email alerts are vibe-codeable. Reliable access to X, LinkedIn, and Reddit data is restricted or expensive, which is the real constraint.

What it would actually take: The architecture is a scheduler with per-source workers, an LLM classifier for complaint/question/praise/buying-intent categories, and an alert pipeline. The hard parts are paid or restricted API access (X and LinkedIn in particular), scraping with anti-bot handling for the rest, and deduplication at scale. This requires budget for data access and some data engineering experience.

Competitors

Other products that read as similar to this one : 343 launches clear the similarity bar, closest 8 shown.

Attention rank: #26 of 344 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 351 days after the earliest competitor.

  • Speakvora · ph · 2026-10-30 · 1 upvotes · similarity 0.46
  • groats · ph · 2026-10-21 · 1 upvotes · similarity 0.45
  • Radar 99 · ph · 2026-10-03 · 1 upvotes · similarity 0.44
  • FairStack · ph · 2026-10-30 · 3 upvotes · similarity 0.44
  • SubSub · ph · 2026-10-28 · 13 upvotes · similarity 0.43
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