FOMOmeter
crypto sentiment based on crowd emotions, not price
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Hi HN,Over the past few years I kept running into the same problem while investing in crypto: most “sentiment” tools either lag price or quietly repackage price data itself.I wanted something simpler and more honest — a way to see how the crowd actually feels, even when price is flat or misleading.So I built FOMOmeter.It’s a sentiment platform that analyzes real social signals (X, Reddit, etc.) and maps crowd mood.What I’m testing right now: • Does pure crowd sentiment add value during uncertainty and sideways markets? • Can it help avoid emotional entries instead of chasing narratives? • Is this something experienced investors would actually use regularly?There’s a free public version and an early Pro version. I’m mainly looking for thoughtful feedback — what feels useful, what feels redundant, and what’s missing.Happy to answer questions and share how the sentiment model works under the hood if there’s interest.Thanks for checking it out.
HN · launched Jan 22, 2026 · 7 upvotes (top 65%) · 0 views
Niche: sentiment analysis software · 32 launches, 0 in the last 7 days · Explore this niche →
Category and tags
- Fintech
- Analytics & BI
- B2C
- Not AI
- Commercial product
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More like this: all 32 launches in sentiment analysis software →
Could you build this?
Partial While displaying sentiment graphs and front-end dashboards is straightforward, continuously scraping, deduplicating, and running accurate sentiment NLP across massive volumes of crypto social feeds requires robust ingestion pipelines.
What it would actually take: Building this requires a real-time ingestion pipeline (Kafka/Flink or Celery) continuously listening to Discord, Telegram, X/Twitter firehoses, and Reddit APIs. The core difficulty is filtering out rampant crypto bot spam, pump-and-dump coordination, and sarcasm, paired with fine-tuned domain NLP/LLM classification models to gauge crowd emotion independent of price movement.
Discussion
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Competitors
Other products that read as similar to this one : 268 launches clear the similarity bar, closest 8 shown.
Attention rank: #114 of 269 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 83 days after the earliest competitor.
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