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A bookmarklet to make your YC app PDF-friendly

Hacker News

A bookmarklet to make your YC app PDF-friendly

I wanted a nicely-formatted PDF copy of my unsubmitted YC app to share for comments/feedback so I made this simple JS bookmarklet. https://bookmarkify.it/13444 When you run it on the application editor at https://apply.ycombinator.com/app/edit it replaces all of the inputs/selects/textareas with <p>. I wasn't sure if there is a better way to do this. I hope someone else may find it useful. Be warned Saving your YC app after running the bookmarklet may cause it to be erased. Somehow this happened to me by reloading the page. Luckily I had another copy :)

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
54%54% 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
48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: friendly · 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 · Missing: mac, agents, macos
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% 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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