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Integration of ChatGPT+Stable Diffusion+Eleven Labs APIs and Hosting

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Integration of ChatGPT+Stable Diffusion+Eleven Labs APIs and Hosting

Hello so I finally released the new version of aidev.codes. It is extremely alpha, has not been thoroughly tested at this point. Its quite different from the previous version. The new aidev.codes: - is buggy but actually works (compared to the old version) - has a ChatGPT-style interface (and uses the chatgpt-turbo model which is actually better than the other models for code) - integrates the stability.ai API to automatically generate images - can create a simple but fully customized and interactive web page and instantly host it for you - can optionally host your page on a custom subdomain - also can use Eleven Labs for text-to-speech although the latency can be problematic sometimes currently, and this will use up your credits much faster. - if you have Chrome there is also a speech-to-text option - has only been tested by myself and maybe 3 users so far

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, user, new · Missing: mac, agents, macos
93%93% 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
87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: host, interface, users · Missing: plus, platform, intuitive
67%67% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
61%61% 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
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
26%26% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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