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A non-VC backed content creation and social media platform

Hacker News

A non-VC backed content creation and social media platform

Hey HN, I'm soft launching my MVP today and would love to hear your honest feedback. For the past few months I've been working extremely hard on this side hustle in my spare time (I have a day job as a CTO). I'm building a platform for writers, bloggers and content creators that's built for them rather than for investors and advertisers like most similar products and social media platforms backed by VCs. I wrote about why I built it here: https://persumi.com/c/persumi/u/fredwu/p/welcome-to-persumi-... And the landing page is here: https://persumi.com/ I would really love your honest feedback, if you care to share them with me. :) In the next week or two I'll write about how I built this MVP in three months - the tech, the architecture, the experiments and the missteps... If you are curious, stay tuned!

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Actual performance

33points
56comments
Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
72%72% 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.
AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
48%48% predicted probability of success on Product Hunt, 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
45%45% 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 · Strong signals: month · Missing: mobile apps, ios, personal
44%44% 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
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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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