LERA – Free automated accessibility reporting tool

Hacker News

Struggling to generate website accessibility reports? Automate your accessibility reporting with the LERA web accessibility tool. - Easy installation: Setup the web accessibility tool with a simple click, as a Chrome browser extension - Granular Reporting: Experience an interactive dashboard with a detailed breakdown of issues - Multiple URL download: Audit unlimited URLs, save, and download all in one file for quick availability - Reporting Template: Use a pre-built, consolidated reporting template with custom headers and download in Excel format - Compare data: Archive and retrieve data for future use, comparison or further analysis Download the free chrome extension - https://chrome.google.com/webstore/detail/lera/neninfnjnhknn... Learn more - https://advancedbytez.com/lera/

Visit product View on Hacker NewsFeb 25, 2022

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Actual performance

3points

1comments

Did not reach leaderboard

Launch Intel predictions

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

79%79% 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

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: google · Missing: mac, agents, macos

21%21% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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