Alternatives
Products that do what CapyNodes does
Build. Evaluate. Learn. AI System Design.
- 1
- 2IB
https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
2025 · github.com
- 3LL
2025 · github.com
- 4
- 5SD
Many platforms exist for a candidate to practice leetcode style questions. Created one to practice and discuss system design problem statements. There is no auto evaluation as high level design is subjective, but we support upvotes/downvotes and a comment section for feedback and discussion. Looking for early feedback.
2022 · workat.tech
- 6CA
I've long had a dislike for leetcode interviews on both sides of the coin. Project-based interviews can also be challenging because it can end up filtering out folks who don't want to spend several hours building something in their free time. I met up with a friend last year -- a very senior dev -- who had taken some time off to study leetcode exercises while preparing for FAANG interviews. It struck me that one of the key measures of whether a candidate is a fit for a team is rather synthetic. CodeRev.app is a simple, lightweight tool that helps teams evaluate candidates using code reviews.…
2024 · coderev.app
- 7
- 8PL
Hey HN, after years building some of the core AI and NLU systems in Google Search, we decided to leave and build outside. Our goal was to put the advanced ML and DS techniques we’ve been using in the hands of all software engineers, so that everyone can build AI and Search apps at the same level of performance and sophistication as the big labs. This was a hard technical challenge but we were very inspired by the MVC architecture for Web development. The intuition there was that when a data model changes, its view would get auto-updated. We built a similar architecture for AI. On one side is…
2025 · build.withpi.ai
- 9
- 10
- 11
- 12
- 13
- 14
- 15
- 16MA
I've been exploring the (not so=) amazing potential of AI in coding and have compiled a list of tools. From AI-powered IDEs to code generators, this resource is my contribution to the community. I'm still on the fence about including txt2sql projects, as their functionality seems too basic to me. And I'm personally maintaining this, so your feedback is wellcome.
2025 · aicode.danvoronov.com
- 17
- 18WB
Hey HN, We’re two developers (co-founders) with a team of 20 who got tired of spending hours reviewing PRs, so we built Infinitcode.ai, an AI-powered code reviewer that: - *Summarizes PRs in plain English*: No more deciphering 1,000-line diff jungles - *Catches more than bugs*: Security holes, performance pitfalls, code smells, even typos (yes, we’ll flag “vurnerabilities” and vulnerabilities) - *Zero onboarding*: Works instantly—no “let me learn your codebase for weeks” nonsense. Why we’re posting: We’re in alpha and need brutal honesty. Roast our tool, mock our UI, or tell us why AI will…
2025 · infinitcode.ai
- 19
- 20
- 21DC
I’ve been using AI to generate some repetitive frontend (guilty), and while most outputs felt vibe-coded, some results were surprisingly good. So I cleaned it up and made a ranking game out of it with friends, and you can check it out here: https://www.designarena.ai/vote /vote: Your prompt will be answered by four random, anonymous models. You pick the one you prefer and crown the winner, tournament-style. /leaderboard: See the current winning models, as dictated by voter preferences. /play: Iterate quickly by seeing four models respond to the same input and…
2025 · designarena.ai
- 22
Give your agent tools to create beautiful, codebase-aware UI
Apr 2026 · aidesigner.ai
- 23KL
I built a platform where you solve tasks together with AI agents (Claude Code, Codex, Cursor — any agent via SSH). Isolated sandbox environments, automated test scoring, global leaderboard. Tasks range from easy (AI one-shots it) to hard (requires human help). Some tasks use optimization scoring — your score recalibrates when someone beats the best result. Built it in 6 days as a solo founder. 100% of code written with Claude Code and Codex. Stack: Go, Next.js, K8s, Supabase, Stripe.
Mar 2026 · kagento.io
- 24PC
Hey HN — 2 months ago we shared our first product with the HN community (https://news.ycombinator.com/item?id=43362535). Despite receiving lots of traffic from HN, we didn’t see any traction or retention. One of our major takeaways was that our product was too complicated. So we’ve spent the last 2 months iterating towards a much more focused product that tries to do just one thing really well. Today, we’d like to share our second launch with HN. Our original idea was to help software engineers build high-quality LLM applications by integrating their domain knowledge into a…
2025 · withpi.ai
Ranked by how close each launch is in meaning, then by votes. Refine with a description →