The full gallery
Tech stack
60 projects
Call AI replicas of human experts trained on their knowledge to get expert advice.
@callable_com_ai · X
create your digital twin with your knowledge base for others to call (and make money?)
Create one-to-one chats and groups for instant messaging with media sharing.
@moid_haroon · X
Chatly Simple, secure messaging. One-to-one chats, groups, and media sharing — sign in with your phone, email, or Google Check out what I just built with Lovable!
Automate customer support with AI-powered chatbot, knowledge base, and workflow tools.
@Harshwardh3263 · X
Tired of answering the same customer questions? Let handle your customer support 24/7.
Build a backend with managed Postgres, authentication, realtime subscriptions, and auto-generated APIs.
@im_pradee_p · X
Backend as a service
Build and run ML workflows in an agent-native cloud notebook with evaluation tools.
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter
AI-powered virtual data room that transforms documents into guided experiences for deal teams.
@Puneeeeeeet · X
We help brands go viral on X with organic video campaigns that people actually want to watch. wanna try for
Read earnings call transcripts free or access via REST API and MCP server
@RobGuerra90 · X
Building : access earnings call transcripts via a cheap API or MCP server. Pull any company's call right into your workflow.
Turn books into AI-powered audio summaries and insights.
@Aireadio · X
🚀 Just launched AIReadio! 📚 Turn books into AI-powered summaries, deep insights, and natural audio in minutes. Built for curious minds who want to learn faster—even with a busy schedule. Try it 👉 #buildinpublic #indiehackers #AI #books #SaaS
Study languages using real sentences with color-coded meaning and spaced-repetition flashcards.
@LinguExcel · X
Become fluent in any language faster than ever by reviewing thousands of real life sentences. Treat language learning like a HIIT workout.
Turn PDFs into adaptive practice questions and personalized revision flows for learning.
@qurative · X
vibe coded a landing page for seo and shit, will fix it later focusing on adding features to the dasboard
Semantic caching reduces LLM token costs and latency for AI queries.
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]
Simple AI chat for OpenRouter models with no login, no tracking, self-hostable.
johnfahey · HN
As someone who doesn't use any of the more "advanced" features on sites like ChatGPT or Claude (agentic mode, memory, image generation, deep research, etc), I found the bloat of these services, both in UX and in performance, to be pretty tedious. There are a million AI chat interfaces out there, but I could never find one that just did simple messaging and history in the most minimal and lightweight way possible. So I made my own. Nully is written in Go and Vanilla HTML/CSS/JS. It literally just sends messages to OpenRouter, receives the result, and stores your messages locally. It's very simple, very clean, and very lightweight (see performance graphs on the site). It has basic chat features, basic model settings, and works with just about any OpenRouter text model. It supports attachments and basic web search via the OpenRouter API. I made Nully mostly for myself, but the cost to open-source it and host it on a cheap VPS is practically nothing, so I figured I'd release it if it c
