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Show off your software products and gather a newsletter following

Hacker News

Show off your software products and gather a newsletter following

Not really expecting this to be anything, but I made it because I want to get into writing (as mentioned in the only article on the site). Medium and Substack seem annoyingly rigid, and I also want to be able to showcase the projects I'm working on, so I built a profile; cantible.com/@chris, which is just my projects and writings in one place, with the option for people to sign up to my newsletter. I doubt anyone else needs that sort of thing, but thought I'd allow others to create a profile just in case. If you want to try to gather a newsletter following and show off your existing products, it might be useful. It's free and always will be. Enjoy, ignore, or let me know if you have any issues or suggestions. Either way, have a great day! Thanks, Chris

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Actual performance

2points
Did not reach 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.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
40%40% 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: exist, existing, io · Missing: https docs, excited, just released
37%37% 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: way · Missing: mobile apps, ios, personal
29%29% 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
25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% 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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