4 Years Later, mmm.page 1.0

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Hi all, In 2021, I released the alpha version of mmm.page on HN. It came as a nice confidence boost during a particularly low point of the project, with 10,000 people signing up in a day. I've spent the past few years continuing to work on it. The vision [1] hasn't changed: what if people could treat websites like an internet canvas? Could that make the internet richer? More idiosyncratic? Much has happened since 2021. mmm.page remains bootstrapped, and it is now profitable. A TechCrunch artice [2]. Partnering with Google for .ing launch [3]. Custom domains, drawings, sections, responsiveness. New in 1.0: advanced styling, animations, browsing & discovery, and more. There are 65,000+ people now making strange websites, resisting dead internet theory [3]. Take a look your at https://mmm.page . XH --- [1] https://paper.mmm.dev [2] https://techcrunch.com/2024/01/25/mmm-page-could-make-you-en... [3] https://blog.google/products/registry/introducing-the-ing-to...

Visit product View on Hacker NewsJul 21, 2024

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

82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released

78%78% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios, google, profitable · Missing: mobile apps, personal, entrepreneurs

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: profit, profitable, bootstrapped · Missing: arr, mrr, revenue

22%22% 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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