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Free open-source Chrome extension for users with disabilities

Hacker News

Free open-source Chrome extension for users with disabilities

Hello HN! Beginner dev here; read several articles about the challenges faced by users with disabilities (and the impact on businesses). Thought to build a chrome extension to enhance web experience for users with disabilities, after realizing that current solutions focus on auditing web for accessibility. Current features published on Chrome store: Text Magnification | High contrast | Alt text | TTS. Working on (but not published yet) tooltip to explain each feature, additional language support. Will appreciate feedback, collaborations and suggestions of things to improve. GitHub Repo: https://github.com/mike-adediran/webforall

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, open, plain · Missing: mac, agents, macos
74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
46%46% predicted probability of success on AppSumo, 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
45%45% 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 · Strong signals: users · Missing: mobile apps, ios, personal
36%36% 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
15%15% 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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