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Tekushi Enterprise – Live online threat data (free if neutralized)

Hacker News

Tekushi Enterprise – Live online threat data (free if neutralized)

We’ve spent this summer building something critical. Today, we’re officially rolling out Tekushi for Enterprise! Check it out: https://www.tekushi.com/enterprise It gives you access to live threat data, as openly as possible! And neutralized threat data is accessible to everyone for free (collective safety wins). We’ve already onboarded some of the largest tech companies! This is a big step toward working together to detect and deter online threats. If you’re interested, get in touch! I’d love your feedback on how we can make the online world safer.

Visit productView on Hacker NewsSep 9, 2026
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Actual performance

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Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: open · Missing: mac, agents, macos
22%22% predicted probability of success on Product Hunt, 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.

Incorrect prediction on native model

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