A platform to find people to jam on side projects with
I have always found it funny how challenging it can be to find people to jam on side projects with. There are literally entire sub-Reddits where people post looking for someone to work on a project with. That is super inefficient. There are also newsletters for this (also pretty inefficient). Let's Jam is my attempt to solve this. This is NOT a cofounder matching platform. The idea is to connect people with ideas and skills so they can jam on them together. If they end up becoming cofounders, cool, but that is up to them. This is also NOT a place for freelancers to hunt job opportunities. Again, the platform is for people who have an idea or a skill and want to work on something together. How it works: > You either a) find a project and request to jam on it with that person, b) post a project and wait for someone to request to jam on it with you, c) claim an idea and wait for someone to request to jam on it with you. > Once someone requests to jam with you, you'll get an email, and you can vet them via LinkedIn or their past work. If you think they'll be a good fit then accept their request and they'll reach out to you. > That's it. Simple. Any feedback is greatly appreciated!
A satirical idle game about running an AI startup
I made an idle/clicker about running an AI startup. You start with a cat-vs-dog classifier and try to make it to AGI, but the NYT sues you for training data, Yann tweets that scaling is dead, and your fired ML engineer leaks the Slack.
Vibe-coded Steam, but in the browser
Hi HN! Lifelong avid gamer here, hugely passionate about WASM and WebGPU. I firmly believe that these technologies will enable console and PC quality titles to be accessible through a browser, and with this, we'll need a new discoverability layer. Looking online, platforms like CrazyGames and Poki cater to a casual/hypercasual demographic, and I couldn't find anything out there that was for me, a core gamer that typically uses Steam and consoles. So I vibe coded my own! It features WASM ports of classic games, as well as some indie Unity titles. The goal is to host mainly WebGPU titles moving forward, and to serve as a way for smaller developers to get discovered outside of crowded channels like Steam. Here's a few features from the platform I wanted to highlight: • Controller support • A console-like UI/UX • Community forums (much work to do here) • Basic achievements • Store pages, modeled after Steam • Social features • Asset chunking to enable faster load times I'd love to get feedback on the portal, to make it even better. Thanks!
ANML
Show HN: ANML – A machine-first markup language for the agentic web (IETF Draft)
Runtm
Hey HN, We're Gus and Carlos from Runtime (https://runtm.com). We're building infra that lets your whole team (including non-engineers) ship with Claude Code, Codex, and other agents without engineering having to handhold every session. After Mentum (YC S21) was acquired, I personally shipped 4 full-stack products in 3 months using coding agents. When I tried to roll the same workflow out to the rest of the team, it fell apart: Most PRs were unmergeable slop - Every repo required an engineer doing one-off local setup. - Skills and context lived in one person's head. - There was no safe way for a PM to touch a real codebase without risking a bad deploy or a secrets leak. Carlos comes from building agentic reconciliation systems at Modern Treasury and had a similar experience when letting his support team use devin. We ended up building internal background agent infra but it quickly became a nightmare to mantain and develop. We built Runtime so you don't have to do this kind of thing. Runtime work like as follows. Engineering defines the context once: system instructions, skills, and scoped integrations installable via CLI, mise, npm, or any package manager. Then Runtime snapshots your full running environment including multi-service Docker Compose setups, Kafka, Redis, seeded DBs, so it comes up in milliseconds with every server already running. We orchestrate across sandbox providers like E2B, Daytona, EC2 or self-hosted K8s depending on your setup. Secrets are injected through our managed proxy so they never touch the agent directly, and guardrails run at the infrastructure level: command allow/deny lists, network egress controls, and RBAC scoped per human and per agent. Every session also gets a shareable preview URL, so internal builds go from sandbox to the rest of the team without needing production access. Runtime works with whichever agent your team already uses: Claude Code, Codex, Cursor, Copilot, Gemini, Devin. You can trigger sandboxes from our web app, CLI, Slack, Linear, GitHub, or API. One of our customers built an on-call inspector that wires PagerDuty, Sentry, and their repo so when an alert fires, the agent finds the cause and opens a PR with a unit test before anyone gets paged. Another runs a finance agent in a private Slack channel pulling from Stripe, NetSuite, and Snowflake to run reconciliations in minutes with source rows attached. A fintech unicorn and several YC scaleups are live on Runtime, including a few teams who had built similar infrastructure internally and handed it to us to take over. The core is open source at https://github.com/runtm-ai/runtm. Hosted version is live at https://app.runtm.com, free tier included. We're charging a flat platform fee plus compute, no token markup. Check our demo: https://www.youtube.com/watch?v=wLwj__aEEh4 We'd love to hear how you're thinking about the infra for letting more people across your org use coding agents without creating chaos!
AI that interviews participants instead of holding another meeting
Show HN: AI that interviews participants instead of holding another meeting
Let agents run any analysis with Mixpanel data, no UI required
Show HN: Let agents run any analysis with Mixpanel data, no UI required
CipherStash Stack
Hi HN, I'm Dan Draper, founder of CipherStash. We've spent 5 years building per-value searchable encryption tech. We realized that encryption like this is incredibly powerful but the engineering required is generally not worth the effort. So we built a platform and opensource SDK to take the cry out of cryptography :) CipherStash Stack is: * A searchable encryption SDK for TS and Postgres * Fast, key management with Zerokms (backed by HSM) * A transparent SQL proxy * Auth library and OIDC federation service * Skills for data security Integrations include Prisma Next, Drizzle, Auth0, Clerk and Supabase. Install and setup is done via a single npx stash init command. And can handoff implementation to your agent. You can start by encrypting just a single field and we've got the whole process down to around 15 minutes. Oh and its fast: most queries run in a few ms with many faster than that. We published our full benchmarks here: https://github.com/cipherstash/benches#headline-numbers I'd love to know what you think!
The AI Quant Desk for Onchain Finance
Most Web3 tools only track basic balances and approximate wallet data. Raster brings TradFi accounting rigor to DeFi through a unified Truth, Risk, and Decision Intelligence framework. Our proprietary attribution engine reconstructs a fully auditable state from raw blockchain activity to deliver deterministic PnL (Truth). We calculate deep, real-time portfolio risk signals (Risk) to power our governed AI Decision Intelligence, built specifically for deep analysis and institutional workflows.
Superlog (YC P26)
Hey HN, we’re Nico and Arseniy, co-founders of Superlog (https://superlog.sh). We're building a self-installing, self healing observability tool meant not to be opened. It has a wizard that daily sets up proper logging and an agent that investigates errors and opens PRs. Super short demo: https://www.youtube.com/watch?v=xFhU9Mk247M. In our earlier startups, we tried Sentry, Datadog, Grafana, Dash0, and nothing was good enough. Proper telemetry and alerting still requires a ton of manual setup. We struggled with adding good logs, so debugging was tough, especially as codebases grow at a faster pace. Meanwhile, the Datadog/Dash0 bill kept climbing, and we still spent engineering hours to learn, configure, and maintain our observability tooling. With Sentry, we found ourselves flooded by a stream of alerts into our Slack channel, most were duplicates or lacked context, so alert fatigue/constant interrupts were a real pain. The #ops notification is consistently the worst feeling on a Saturday morning We’ve seen too many times servers run out of memory and disk, and three AWS metrics giving us three different values. Half of the graphs on dashboards are normally empty or outdated, and manually clicking through UIs, especially when the team is small, seems like a huge waste of time. At some point we realized that solving this problem would be more valuable than the things we had been working on, and we had the expertise to do it, since Arseniy had spent years at Datadog, getting paged during the night to debug production incidents. So we decided to build a platform that would just work: agent-first, MCP-native, zero-setup. Here’s how Superlog works: we have a wizard that scans your repo, and automatically instruments it with well-structured logs, traces and metrics via OpenTelemetry. We make sure to highlight main failure modes, endpoint performance, usage per tenant, and LLM/upstream cost (by callsite, tenant and model). Errors get fingerprinted and grouped into incidents, so you see one issue, not a thousand duplicates. When you get a notification from Superlog, you see a clear failure summary, its inferred severity and impact upfront. Then the agent investigates and tries to solve the issue. If it has enough context, it produces a concise and tested PR. If it doesn't, it posts its findings for the investigating team, and automatically pulls in the engineers that could contribute more context based on documentation, previous investigations and Slack threads. Either way the output is one clean PR per incident, posted in Slack, that you can merge, ignore, or open as a Claude Code session and modify. Three things we think are different from other observability vendors: (1) We solve the setup pain. The wizard will instrument everything with native OTel SDKs, respecting the semantic conventions, with proper service and environment tagging. We’re also working on native automatic dashboards and alerts, so that you can see what’s going on in a glance and don’t miss subtle failure modes. (2) Our telemetry doesn’t decay. The wizard runs daily, and keeps adding logs, alerts and dashboards where it’s needed. You don't have to remember to instrument new features. The next time something breaks, the data you need to debug it is already there. (3) Our goal is to solve alert fatigue. We use agents to merge similar errors and refine the summaries, giving you relevant information upfront. We have a custom evaluation setup that makes sure that our summaries are dense and correct, and severity and impact is on point. We also give you confidence scores for every LLM-enhanced metric so that wrong guesses don’t get boosted. Important: superlog telemetry is vendor-neutral, so you keep all the logs/metrics/traces we install. Pricing is on the site. We're early, so expect rough edges and please tell us when you find them. You can try it at https://superlog.sh. We'd love to hear what you're using today, what's broken about it, and whether the "one mergeable PR per incident" model sounds useful or terrifying. Especially keen to hear from folks running integration-heavy products, anyone who's rolled their own observability, and anyone who has tried Sentry / Datadog MCPs and given up. Comments and feedback welcome!
Andonlabs
Hey HN! I'm Lukas from Andon Labs. We let AIs run companies without humans in the loop and report to the public on what can go wrong. Previously, we've done experiments in retail (vending machines, stores, and cafes), but we just launched one in the media sector. We gave four AI agents all the tools they need to both broadcast radio shows live and handle all the business side of running a media company. The agents' revenue is so far terrible (you can try to strike a sponsor deal with them if you want!), but their shows are at times hilarious. You can listen to them at andon.fm, I hope you enjoy this!
We missed Winamp, so we built an audio player for macOS
Show HN: We missed Winamp, so we built an audio player for macOS