Alternatives
Products that do what Preflight7 beta does
Consulting-backed RFP Engine
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- 6AI
Hi HN, I’m Sean, the founder of Ascend.io (https://www.ascend.io). I’m really excited to post here and announce the launch of Ascend.io, a radical new way of designing, scaling, and automating data pipelines. Ascend is the result of nearly 4 years of development effort for a team that is now 30-strong, and I would love for you to give it a test drive and let me what you think. I’ve felt this pain since I wrote my first MapReduce in 2004 (using Sawzall @ Google), and in the 15 years since, things have not improved at the pace of other parts of the technology ecosystem. When I went…
2019
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- 8BO
We’re open-sourcing a simple way to add “canary tools” to AI agents via MCP honeypots. These are functions your agent should never call during normal operation. If a canary is invoked, you get a high-fidelity signal of prompt-injection, tool hijacking, or lateralization—no heuristics, no extra model calls. What it is: - Go framework exposing decoy tools over MCP that look legitimate (names/params/descriptions), return safe dummy output, and emit telemetry when invoked. - Runs alongside your real tools; ship events to stdout/webhook or your pipeline (Prometheus/Grafana,…
Sep 2025
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My name is Elliott. For the last three years, I’ve been building a DevOps platform on the best-in-class open source platforms (Kubernetes, Elixir, PostgreSQL, Grafana, etc.). The goal is to give engineering teams access to a modern DevOps infrastructure without needing to have a full SRE/DevOps team dedicated. It’s also open source /fair source - all the source code is here → https://github.com/batteries-included/batteries-included I shipped a public beta today and would love to hear initial reactions, thoughts, and feedback. Here are details of the platform: *…
2024 · batteriesincl.com
- 10SH
website: dashboard.io I've been thinking about this idea for a while now and finally got around to building the prototype this weekend. The idea is that you'd drop my JS snippet on your site and I'd start building the "AARRR" table (which I'm actually building this week but imagine slide 4: http://www.slideshare.net/dmc500hats/startup-metrics-for-pirates-long-version). Basically, the system will build that table out for you and then show you how your startup stacks up against others in your space. To be clear, I'll never share your data with anyone. So, if you're a "hosting" company, I'd…
2011
- 11CA
I built this because I was tired of creating pull requests in 20 repositories just to change a single line of workflow job version. With Infra as AI, just mention the change. Agents work on all repos in parallel, read the docs, make a bunch of PRs and fill in the description. You can see the demo of the actual dashboard in the landing. Let me know your thoughts :) It means a lot to me!
Sep 2025 · infrastructureas.ai
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We built InsForge because we wanted to use pure prompts to build a production-grade app faster. In practice, AI isn’t reliable enough when generating code or configuring backend pieces like schema, RLS, auth, or functions. Postgres MCP and Supabase MCP are a good starting point, but they felt more like API wrappers for agents than something designed to guide AI safely through backend tasks. So we built our own MCP server on top of Postgres and added a set of context-engineering tools to make prompt-driven workflows more predictable. It gradually turned into a Postgres-based BaaS. Key…
Nov 2025 · insforge.dev
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Hi HN! Last night, I live streamed myself coding this Llama 2 Agent on a Single GPU (Colab). After 6 hours it actually has some good results. How it works is it takes in your intuition (e.g. "I think x would be cool") and develops a business idea (with a name and branding colors) and a business plan. After the business plan is developed, it criticizes this plan recursively until the "Investor" prompt is satisfied with the plan. After all this it will generate the final MVP idea and pass it to a the React Engineer Agent I live coded 2 days ago…
2023 · github.com
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As a former CIO who managed teams working with millions of lines of legacy code (Visual Basic, Sybase, Oracle Forms, and worse), I feel the pain of maintaining and onboarding developers to legacy systems. Believing that LLM-enabled tools can play a role in solving this, I've built a tool that automatically generates documentation for legacy codebases using the Model Context Protocol (MCP) & Claude Sonnet. At first glance, I think this approach has merit. Some samples are in the README. I welcome your thoughts. The Problem: - Legacy codebases are notoriously difficult to understand and…
2025 · github.com
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Hi HN, Martin, Nils, and Jannes here. We are building Legit, an open source version control and collaboration layer for AI agents and AI native applications. You can find the repo here https://github.com/Legit-Control/monorepo and the website here https://legitcontrol.com Over the last years, we worked on multiple developer tools and AI driven products. As soon as we started letting agents modify real files and business critical data, one problem kept showing up. We could not reliably answer what changed, why it changed, or how to safely undo it. Today, most AI…
Jan 2026
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Hey HN! Thank you for all the support and feedback on my original submission 2 months ago. I've been improving the backend using a MCTS/AlphaZero approach and it's currently producing much better results. My long term goal is to allow users to manage multiple projects, deployed autonomously, both from scratch and by making continual updates all prompted with natural language. The cost of each project has been lowered to $9 as performance with smaller models has improved (I migrated from Claude-3-Opus to gemini-1.5-flash). Thanks for checking it out!
2024 · saas-quick.com
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I kept hitting the same wall at work every time we needed to ship an AI feature. What looked like a week of work turned into picking a model, setting up a vector DB, managing embeddings, wiring up chat history, handling retries — none of it was the actual feature. So I built Modular. You register a function that returns your app's data, then call ai.run() for one-shot features or ai.chat() for stateful conversation. Everything else — context management, embeddings, session history, model routing, retries — is handled. MCP-native from day one. Works with Claude, GPT-4o, and Gemini. Still…
Apr 2026 · modular.run
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I wanted to build an inference provider for proprietary AI models, but I did not have a huge GPU farm. I started experimenting with Serverless AI inference, but found out that coldstarts were huge. I went deep into the research and put together an engine that loads large models from SSD to VRAM up to ten times faster than alternatives. It works with vLLM, and transformers, and more coming soon. With this project you can hot-swap entire large models (32B) on demand. Its great for: Serverless AI Inference Robotics On Prem deployments Local Agents And Its open source. Let me know if anyone…
Nov 2025 · github.com
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A few weeks ago I posted about GoodToGo https://news.ycombinator.com/item?id=46656759 - a tool that gives AI agents a deterministic answer to "is this PR ready to merge?" Several people asked about the larger orchestration system I mentioned. This is that system. I got tired of being a project manager for Claude Code. It writes code fine, but shipping production code is seven or eight jobs — research, planning, design review, implementation, code review, security audit, PR creation, CI babysitting. I was doing all the coordination myself. The agent typed fast. I was still the…
Feb 2026 · github.com
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Show HN: SerenDB – Neon PostgreSQL fork optimized for AI agent workloads We forked Neon to make database operations faster and safer for AI agents. The goal is to enable instant experimentation with production data and catch prompt injection attacks before they hit your DB. The open-source repo is at https://github.com/serenorg/serendb The coolest current features are: 1. Time-travel queries: Query your database as it existed at any timestamp. SELECT * FROM orders AS OF TIMESTAMP '2024-01-15 14:30:00'. Essential for debugging agent decisions and auditing what data an…
Oct 2025 · github.com
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Hey HN! I’ve been building Fatebook for the past couple of months. It’s a slack bot to help your team make and track predictions, right where you work. I see forecasting as anti-bullshit technology: - It gives you truthseeking incentives - You communicate your uncertainty as a probability, which is way clearer (70% is better than “probably”) - You can aggregate forecasts to get wisdom of the crowd effects - You can see everyone’s track record, and pay more attention to people who are consistently accurate I’m a fan of prediction markets [0] and forecasting platforms [1]. But predictions on…
2023 · fatebook.io
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