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A decentralised VC firm using Bitclout?

Hacker News

A decentralised VC firm using Bitclout?

Experiments are fun. I recently came across Bitclout, and I love the underlying concept. It’s ballsy, will it work? — time will tell. I think Bitclout as a thesis is moving towards the right direction. Decentralised Social Media networks will be the next thing and allowing users to own their own social equity and monetise that is the future. Last year I started an experimental fund, Khoob (www.khoob.group) The idea was to invest in and build interesting Indian companies (a Betaworks / Expa for India). Thus far we have made 4 investments, and are building 4 companies. At Khoob I’m the solo GP, no LPs — so plenty of room to experiment. Currently Bitclout is aiming at helping individuals productise themselves. Individuals are brands, so why not an actual brand? The VC (venture capital) space is also undergoing a metamorphosis (eg. Sahil Lavingia's recent distributed raise for Gumroad). With that said we setup : https://bitclout.com/u/Khoob Currently the revenue into Khoob comes in the form of: 1). Dividends from investments / companies we have built. (Revenue Sharing) 2). Carry from liquidation events. (M&A, Secondary Sales). At the end of Q2–2021 we will be using 10% of our proceeds to purchase Khoob coins on Bitclout. Purchasers of our coins will be invited into a mailing list where we will be opening up data regarding current / future investments and companies we are building. This experiment will be about understanding whether we can decentralise Khoob as a fund and bring on (micro)LPs in a radically different way. Would love your thoughts/feedback.

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
68%68% 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, using, open · Missing: mac, agents, macos
67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: users, way · Missing: mobile apps, ios, personal
51%51% 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: users · Missing: plus, platform, intuitive
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr, revenue · Missing: mrr, profit, saas
23%23% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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