Looking for feedback on Truegit, Git powered Blogging platform

Hacker News

Hey all, I've been working on a blogging platform Truegit (https://truegit.io) powered by your Github repository. The mission is to give the publishers complete ownership of the the content (as the Github repository is the source of truth of everything including your blog configuration), while we publish your content and help you gain audience. You can write your posts in markdown, commit it to your repository, and we publish it! Not to mention, this also opens up a whole new world of collaboration on your posts through Pull Requests. We want to make it like Medium powered by Github. We are currently working on social features like "Likes", "Comments", "Follow a blog" etc. Would love your feedback!

Visit product View on Hacker NewsJun 12, 2022

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14points

7comments

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, open · Missing: mac, agents, macos

92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: io, including · Missing: https docs, excited, just released

72%72% 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: platform · Missing: plus, intuitive, reviews

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: including · Missing: supports, reddit linkedin, podcasting

42%42% 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

38%38% 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

13%13% 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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