A

A simple fortune cookie service

Hacker News

A simple fortune cookie service

I have setup a very simple service which outputs a random "fortune-cookie" text every time the url is accessed. It can be accessed via web browser, which will present proper html, and it can be also reached via `curl`, which will receive plain text. https://coo.kie.space/ will present standard non-offensive fortune cookies; https://coo.kie.space/a may present any fortune cookie, offensive or not; https://coo.kie.space/o will present only offensive fortune cookies. I appreciate any feedback, criticism and/or suggestions. P.S.: I did this just for fun; although it seems pointless at first, think of environments where you can't install fortunes or don't have the privilege to execute it: if you can `curl`, you are good to go. edit: now with https working.

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Actual performance

3points
2comments
Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
67%67% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: plain · Missing: mac, agents, macos
43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
42%42% 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
21%21% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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