Si

Simplify, a Browser Extension to Decode, Explain, and Summarize Content

Hacker News

Simplify, a Browser Extension to Decode, Explain, and Summarize Content

Hey HN, My name is Josh. Over and over again, I've found myself drowning in complex, jargon-filled articles. With the rise of new AI tools, it struck me: what if there was a way to make the internet's information not just accessible, but effortlessly digestible? This led me to create Simplify. Born from personal frustration and many late nights, it's a browser extension that allows you to simplify, summarize, or explain text just by highlighting and right-clicking. I truly believe Simplify bridges the gap between information overload and understanding, and has allowed me to increase my productivity. But there's always room to improve and grow. I would love feedback, critique, and suggestions. You can see a demo of it here: https://www.youtube.com/watch?v=EMA81LYrGV8 And You can try it out here: On Firefox: https://addons.mozilla.org/en-US/firefox/addon/simplify-ai-web-assistant/?utm_source=addons.mozilla.org&utm_medium=referral&utm_content=search On Chrome: https://chrome.google.com/webstore/devconsole/5e35bb1b-48df-482e-a1c8-cd646ffeae24/geifimkfaillkbjmfkgkdabicfgnbdic/edit/listing Eagerly waiting to hear your experiences and thoughts.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
87%87% 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: google, new, code · Missing: mac, agents, macos
66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, google, way · Missing: mobile apps, ios, entrepreneurs
47%47% 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
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% 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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