Superflows- Open source toolkit to build AI assistant for SaaS

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Henry, Matt and James here - we're building an open source devtool that makes it easy to integrate an LLM-powered assistant into software products. It calls your API to take actions in the software and answer questions, like having a ChatGPT plugin within your product. It’s also open source, so you don’t have to send user data to another 3rd party.* We started working together 2 years ago and have pivoted a few times. One problem we came across running a startup was we had to learn to use a lot of business software. We also heard from people running software companies that one of their biggest problems was helping users get the most out of their software. We’re building Superflows to address these problems. Superflows works by calling API endpoints (and in time, functions in your code) which you choose to expose. This lets the chatbot achieve tasks within your software in response to natural language queries. You can upload your OpenAPI spec to our dashboard to get up and running, or there are presets to test. You can enable/disable endpoints and evaluate performance in the playground. We also have a react UI library to make it easy to integrate into your software. You can self-host for free. We're charging for the cloud version. This has faster & easier setup, user permissions, analytics & support. *We currently only support OpenAI LLMs, but are working on making it easy to host llama 2 so the whole stack is open source.

Visit product View on Hacker NewsAug 6, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, chatgpt, openai · Missing: mac, agents, macos

97%97% 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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting

92%92% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: lua, open source, llama · Missing: https docs, excited, just released

76%76% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host, users, calls · Missing: plus, platform, intuitive

23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

Incorrect prediction on native model

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