
A shared canvas for coding agents | Murmell
Run multiple coding agents on a shared canvas with automatic file conflict prevention.
moss_ab_mirande_ney · Product Hunt
Murmell Cloud canvas where your team and AI agents works together
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Run multiple coding agents on a shared canvas with automatic file conflict prevention.
moss_ab_mirande_ney · Product Hunt
Murmell Cloud canvas where your team and AI agents works together

AI agent that finds, qualifies, and books leads on LinkedIn and Instagram.
samagra_gune · Product Hunt
Sumora The AI team that finds and closes your next customer.

AI investment agents research markets, monitor positions, and build strategies for your portfolio.
zaczuo · Product Hunt
Driven The trusted AI investment agent, from insight to action

Publish tasks to evaluate and benchmark different AI agents and tools on a leaderboard.
u/Ruqii-ruqii · Reddit
I built an open Eval to compare different AI agents/tools/pipelines and find which solution works the best (not very pretty╥﹏╥, but practical) The original reason I built it was because I wanted to find a good PDF parser. Every PDF parser claims to be the best, but none of them can get my PDF 100% correct. They would either miss numbers or hallucinate some. Or they get PDF A and B correct but failed at C. Or get C correct but failed at A and B. Very frustrating. So I create

Offload coding work to AI agent swarms with shared team context and workspace.
@BennyKokMusic · X
introducing teams in - shared context and workspace for entire team - support for claude code, codex, pi, open code, cursor and more, no vendor lock in. - run in your own infra, your data, your network - models improve and change but your workflow stays - turn coding agent into autonomous bots or schedules - bring your own subscriptions “There is a lot of coding agent wrapper out there, but this one simplifies, mobile optimized, and built for teams. It turns complex coding agent into normal chat interface” Try it now! Or clone the repo, its all yours

Automatically find potential customers and draft outreach messages using AI agents.
davedx · HN
OctoLoops – automated marketing for indie devs

AI agents automate marketing tasks including writing, social media, research, SEO, and campaigns.
@beninthehouse · X

Slack bot that automates keyword research, branded content creation, and technical SEO fixes.
boringmarketer · GitHub
kimi-first Claude Code skill: Kimi types, Claude thinks & verifies — route implementation work-orders to the Kimi Code CLI (k3). A port of @steipete's codex-first (github.com/steipete/agent-scripts). By @boringmarketer · boringmarketing.com

Build software with a team of AI agents through a game-like interface.
u/East_Operation1151 · Reddit
I built pondas: run a team of AI agents like a game to build an app I've been building this for a while and finally want to show it here. Most AI app builders are one model in a black box. You type a prompt, it guesses, and you hope what comes out works. I wanted the opposite: real control over how the AI builds. So in pondas you run a whole team of AI agents, and you control the loop they work in. What it actually does: - You describe an app in plain words and a team goes

Detects AI agent runaway loops and generates verified fix PRs for GitHub or local apply.
@void_rags · X
Introducing Orqis AI, an AI Watchdog that also fixes Agents. Have a look:

Deploy autonomous agents to run tasks for $8 a month with a simple interface.
u/liltechnomancer · Reddit
I forked Pi and tried to make it accessible to normies. I love all the open source coding agent harnesses. Pi chief among them. But I was bummed I couldn't really get my non-technical friends on them. They also would not be eager to drop a bunch of money on a mac mini to host an OpenClaw instance. This made me feel there may be a gap in the market. This made me wonder if people would like a web app based agent that could update itself. If you want to build a custom media pipeline for

Trace, replay, and verify AI agent decisions with signed audit trails.
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in