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Which VCs are Tier 1?

Hacker News

Which VCs are Tier 1?

Saw some discussion on twitter on which firms are considered tier 1. Was inspired to make a little game where users choose their favorite and least favorite firm to get a term sheet from when presented with four choices. At the end of the game you can see your own ranking as well as an aggregated results from the crowd. I went with the choose favorite/least favorite mechanic because it felt like a better experience then just doing head to head. With ~20 firms that's a lot of pairs you need to go through. If you do triplets that reduces the pairs, but it was still too many rounds. By doing min/max four at a time you can efficiently get implied preferences in ~20 rounds. This make it take only about 3-5 minutes to finish the game!

Visit productView on Hacker NewsFeb 28, 2026
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: efficiently · Missing: supports, reddit linkedin, podcasting
71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, 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
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: efficient, users · Missing: plus, platform, intuitive
36%36% predicted probability of success on AppSumo, 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.

Correct prediction on native model

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