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Interested in an automated fact checking service?

Hacker News

Interested in an automated fact checking service?

Hey everyone, I'm working on an automated fact checking service that works like so: 1. Paste a link to the website, X or facebook comment you want to fact check, 2. Select a quote on the site, 3. We search for relevant results from research databases, reputable news sites and searches on the web, 4. You get a web page with the quote, fact check rating, summary of the findings and sources, 5. Share that generated fact check page back to the source, so people can be aware of the relevant information. This is a work in progress (currently a landing page) and I'd love to know if you are interested in it (it's worth me continuing to work on). Would love to hear your opinions or ideas :)

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Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos
78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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