Mu

Murmell – Collaborative cloud canvas for coding agents

Hacker News

Murmell – Collaborative cloud canvas for coding agents

Hey HN! I'm Moss'Ab. Murmell ( https://murmell.com ) is an infinite canvas where coding agents run together in the cloud instead of on your laptop. It's like Google Docs, except the other editors are you, your teammates, and a set of agents all working in the same canvas. Short demo: https://app.murmell.com/demo The idea came out of a YC hackathon. We were trying to build the thing under extrem pressure, deploying at the very last minute, but with several agents working in parallel, all the branches collided. Everything broke at the worst possible moment and we spent the end of it untangling instead of building. We didn't win. Murmell is the thing I wished we'd had that day: one place where the agents and the people can see each other work, on machines that don't belong to any one laptop. Each canvas gets its own machine in the cloud. Close your laptop and the agents keep going; open it again anywhere, or have a teammate open the same canvas by sending him the link, and you're inside the same session rather than a copy of it. The work stays exactly where you left it : same branches, same dev server still running, so an agent picks up mid-task instead of starting from scratch. And you can literally collaborate with your team like google docs, it's se same system, read of edit link, they connect they can type on your terminal, you can see their mouse, wich terminal they're typing in. And you can interact wich each other sessions, it's pretty useful instead of sharing a screen, copying a prompt, etc. The hardest part was building the cloud infrastructure, trying to make it scalable, and to manage the sessions to make the best experience possible: when the VM shuts down, it snapshots everything and restores everything when you come back, even the conversation with your terminal, it's stored with a system that i built like obsidian wich also make you save a little bit of tokens. So the answer to that hackathon is file claiming. Before an agent works on something, it claims the paths, it's an exclusive lease with a TTL, so nothing stays locked forever because an agent died mid-task. And if another agent asking for the same file gets denied, the denial tells it who holds it, how long is left, and to either pick other work in its scope or message the holder (the agents can communicate through the board) A watcher classifies every write, so if anything writes inside someone else's claim it shows up on the canvas as a collision right then, instead of as a merge conflict you discover an hour later. And when an agent is done, it can hand its claim to the next one. And agents never hold your provider keys either, they get a token, and a proxy on the container's loopback swaps it for the real key on the way out, which makes a leaked token worthless outside that container. Murmell is paid. I've put prices at 50% off for now, because it's still not where I want to take it yet. It is fully usable though: I develop Murmell with Murmell, every day (and tbh it's save soooo much time to us with my cofounder) And to be fully transparent with the actual prices it costs us much than we are earning but the goal is to collect feedback to make Murmell as good as possible For context: I'm 19, a 4th year computer engineering student, and I've been on this for about three and a half months, day and night. I discovered claude code after my father showed me first Windsurf (today Devin) for a python homework in 2024, and i think i never went somewhere without my laptop since then lol. So feel free to comment or to give feedback, or even subscribe to support the project :)

Share card

Actual performance

8points
3comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agents, agent · Missing: macos, cursor, model
99%99% 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
86%86% 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
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: month, google, way · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
28%28% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: exclusive · Missing: plus, platform, intuitive
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid, collaborate · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Cl
Cloud Coding Agents35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cloud Coding Agents

Hacker News2
Co
Collaborative Canvas Painting59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collaborative Canvas Painting

Hacker News2
Fa
Fantail SLMs for Coding Agents61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fantail SLMs for Coding Agents

Hacker News1
Stellify
Stellify16%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collaborative coding

Indie Hackers1ai
La
LazyAgent – All in one observerbility TUI app for coding agents39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LazyAgent – All in one observerbility TUI app for coding agents

Hacker News6
Cosyra 2.0
Cosyra 2.091%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A cloud workspace for coding agents from your phone

Product Hunt+117Productivity
A
A Collaborative Art Canvas (experimental)57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Collaborative Art Canvas (experimental)

Hacker News24
HolyCode Cloud
HolyCode Cloud48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Always-on cloud workstation for AI coding agents

Indie Hackerscommitment-full-time
Am
Amika – Multiplayer cloud workstations for coding agents and humans78%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Amika – Multiplayer cloud workstations for coding agents and humans

Hacker News7
Fr
FriendCode – Reinventing coding with the cloud53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

FriendCode – Reinventing coding with the cloud

Hacker News39