GPT-4 powered internal tools

Hacker News

Hey HN, I’m Brad, one of the founders of Superblocks, a programmable cloud IDE for internal tools. This week we launched a deep integration with OpenAI, giving developers a tightly integrated app layer for GPT-4 powered internal tools (components, integrations, permissions, audit logging, SSO, observability etc.). Imagine you want to create an AI chat copilot for your support team that gives them answers to customer questions from your company’s corpus of information. With Superblocks, you can directly query a vector database like Pinecone or Weaviate, feed the results into OpenAI using our integration with a custom prompt, hook the response from OpenAI to a Chat component in the UI and click deploy with git. Fun fact: We did this flow ourselves and demoed it at an OpenAI hackathon a few weeks ago! Our AI app layer helps developers access every OpenAI API: - use an intuitive UI on top of the API, eliminating the need to decipher API references and handle hyperparameters - prompt engineering fields that let you integrate any data using variables in code right within the Prompt and System Instruction fields - cost optimization via static or dynamic token limits, effectively managing API usage to ensure avoid runaway costs 5-min video: https://cdn.superblocks.com/videos/superblocks-build-ai-powe... Would love to hear feedback from the HN community! PS. We hear that lots of developers want to use private LLMs for their sensitive data so they don’t have to send to OpenAIs servers, this is something we’re working towards. We also plan to add more LLMs too

Visit product View on Hacker NewsApr 27, 2023

Share card

Actual performance

18points

2comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

98%98% 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: para · Missing: supports, reddit linkedin, podcasting

84%84% predicted probability of success on Indie Hackers, 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

73%73% 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: video, answers, way · Missing: mobile apps, ios, personal

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive · Missing: plus, platform, reviews

40%40% 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

14%14% 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.

Correct prediction on native model

Similar products

ELI5 Powered by GPT-355%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ELI5 Powered by GPT-3

Hacker News134

I made a GPT-powered webscraper51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a GPT-powered webscraper

Hacker News2

Retool – build internal tools faster78%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Retool – build internal tools faster

Hacker News592

Internal Tools Hub55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Community for Developers, PMs, etc focused on internal tools

Indie Hackerscommitment-side-project

Clickport61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Slack app for Internal Tools

Indie Hackers1apis

Worldbuilding Experiments with GPT-336%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Worldbuilding Experiments with GPT-3

Hacker News2

Autosummarized HN (With GPT-3)51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Autosummarized HN (With GPT-3)

Hacker News6

I composed a sonata with GPT-3 DaVinci-003 and you can too51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I composed a sonata with GPT-3 DaVinci-003 and you can too

Hacker News3

GPT Classifies HN Titles57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GPT Classifies HN Titles

Hacker News6

Cerebras-GPT-2.7B finetuned on Stanford Alpaca dataset65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cerebras-GPT-2.7B finetuned on Stanford Alpaca dataset

Hacker News4

Browse all products Analyze your launch