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Applications are open for TinySeed's 2020 batch

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Applications are open for TinySeed's 2020 batch

TinySeed is a remote, year-long accelerator for independent software businesses. We just opened up our applications for our second batch: https://tinyseed.com We focus on SaaS and “non-unicorns” (companies that don’t aspire to grow at all costs to reach a $1B valuation). In addition to investment, we are a tight-knit community providing advice, support, a deep network of founders, and valuable connections to world-class mentors. Applications will be open for the month of November and will close at midnight, November 29th. We’ll be reviewing applications through December and making decisions in Winter 2020, with the next batch starting Spring 2020. Let us know if you have any questions; either here or email einar@tinyseed.com. Hope to see your application!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
77%77% 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 HuntUnlikely to reach the leaderboard · Strong signals: email, tiny, open · Missing: mac, agents, macos
49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released
26%26% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
17%17% 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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