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GodMode – open-source AI Chat Browser

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GodMode – open-source AI Chat Browser

Hi HN, we're Sean, Alec, and swyx, and we've been hacking on this side project that harmonizes all the major AI chat apps (Closed LLMs, Open Source Hosted LLMs, and Local/GGML ones too) and lets you invoke them in one keyboard shortcut. I originally made this as a smol menubar app that could quickly access ChatGPT from wherever I was on desktop. This necessitated writing an Electron app, rather than a Chrome extension. I also didn't have access to the GPT-4 API at the time, so I preferred to use GPT-4 via the full webapp. Then Bing came out strong, and Bard, and Claude, and Llama, and Vicuna, and Falcon and on and on, and other people kept reporting amazing SOTA results on model after model and I felt hopelessly behind - either you just take benchmark results at face value, or you spend serious time copying and pasting chats just to get a feel for the practical differences between the various closed/open source LLMs. The real value came when I started just running every query past 3-5 chats at once, and started getting a sense for what each was good at. Bing/You.com is (obviously) good at search, but so is Perplexity. Claude 2 wins about 30% of my code queries vs GPT4. GPT4 and Bard and Bing handle file uploads differently. Llama2 is surprisingly good sometimes but also hopelessly bad at others. And so on. But the answer isn't to pick one daily driver. It's to make it easy to just run them all at once, and swap in/out whenever necessary. (I've taken to calling this Mixture of Mixture of Experts, akin to the GPT4 rumors geohot dropped on our podcast https://news.ycombinator.com/item?id=36413296 ) As the app grew in screen real estate (ultrawide monitor people! this is your calling!) and I started needing to copy/paste things more, I realized what we were really building was a full-fledged secondary browser that does a slightly different job than your regular browser. It's nominal first purpose is to just harmonize all chat inputs, but more broadly, I can pipe any arbitrary input to any open/closed LLM without any api key using your own account, and use it to enhance your browsing experience generally without me ever seeing your data. What could you do if you could add intelligence features for ~free to any part of your browsing experience? MS Edge has shown a bit of this potential but why should we be limited to just the Edge browser, or just the sidebar? (you can see the beginnings of our thinking in the alpha PromptCritic feature we just added). You can see our 1min launch video here: https://twitter.com/swyx/status/1692988634364871032 We've been hacking on this as a side project, and it's my first ever Electron app using a bunch of gnarly features. The UX has a lot of things to improve (see the open issues... help!) but just wanted to get this out there. Feedback welcome!

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
95%95% 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: claude, model, apps · Missing: mac, agents, macos
95%95% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: apps, video · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, llama, ide · Missing: https docs, excited, just released
51%51% 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 · Strong signals: host · Missing: plus, platform, intuitive
28%28% 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
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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