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I made a SPA to quickly practice/test/improvise my typing

Hacker News

I made a SPA to quickly practice/test/improvise my typing

Speed Test your Typing! no obstacles, no questions, no prompts, direct to practice. There are a 100 typing practice services offered, why did you create this? No Reason, wanted quickly to wake up and practice a few minutes a day before my brain defrosts and procrastination kicks in. I even made a chrome extension plugin to support me do this quickly. Monetization Model Donation or Non Interruptable Ads [not overdone, maybe just 2 on the side outside the typing space]. Not yet decided, just want to put out there first. It is beneficial for people who use their pc daily from copywriters to programmers. Next: probably add a smtp to have player logs delivered to them in mail. Initially created for myself and friends, so no UI sugar coating as you can see. One of my friends suggested to turn this into a public domain, may help someone. I hope this is helpful to someone. PRACTICE!

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · 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 HuntOn track for Day 1 leaderboard · Strong signals: model · Missing: mac, agents, macos
57%57% 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
44%44% 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
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% 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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