Pacer – Read Faster on the Web

Hacker News

Pacer is a Chrome extension designed to help you read faster on the web. I created it out of frustration with alternatives that required copying and pasting text repeatedly. It’s based on a technique called RSVP (Rapid Serial Visual Presentation), where words are shown one at a time in quick succession to minimize the time spent reading. However, unlike traditional RSVP, the words in Pacer aren’t fixed in one place. It’s been helpful for me and several friends, and I’d love for you to try it as well. It's not perfect and there are things that are up for improvement but am sharing it here for everybody to use. Pacer is free and available on the Chrome Web Store. Give it a try, and I’d appreciate any feedback on how I can improve it to make your web reading experience even better.

Visit product View on Hacker NewsSep 15, 2024

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Actual performance

5points

Did not reach leaderboard

Launch Intel predictions

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

80%80% 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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

65%65% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

56%56% 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 · Missing: mobile apps, ios, personal

33%33% 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

14%14% 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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