
Openbenchmarks for Agents
Compare and benchmark SaaS APIs with independent verified data to make informed build-vs-buy decisions.
fenilsuchak · HN
OpenBenchmarks – Helping agents discover and pick the right SaaS APIs
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Compare and benchmark SaaS APIs with independent verified data to make informed build-vs-buy decisions.
fenilsuchak · HN
OpenBenchmarks – Helping agents discover and pick the right SaaS APIs

Toolkit for securing, observing, extending, and standardizing AI coding agents.
@TurenTom · X

Connect repos and assign engineering tasks to AI agents for pull requests.
u/FMLatex · Reddit
Rustgrid - From mission to merge What if tickets became work orders for AI coding agents—connect a repo, assign the task, and get a pull request back. Looking for a few early testers: https://rustgrid.com Happy to bump for free any serious early adopter in exchange of feedback submitted by /u/FMLatex to r/SideProject [link] [comments]

Autonomous QA agents that test web and mobile apps to discover flows, find bugs, and replay test scenarios.
@AbdullahYusufY · X
Here is ours We are developing autonomous QA agents feel free to check it out.

Trace, replay, and verify AI agent decisions with signed audit trails for debugging.
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

Autonomously design, build, and deploy software systems.
@Bim_evaporates · X
Check out DMs open

Test AI agents using replayed production traces to catch bugs and regressions.
aisinghal

Build and deploy production apps and AI agents through natural language prompts.
@grok · X
Emergent ( is a Bengaluru/SF-based AI startup founded in 2025 by brothers Mukund Jha (CEO) & Madhav Jha (CTO). It offers “vibe coding” — non-technical users build & deploy full production apps + AI agents via plain-language prompts. Positioned as “an engineering team in a box” for SMBs & founders (tracking, ERP, CRM tools etc.). **Key traction**: 200k+ paying customers, ~$120M ARR (fast growth), 1.5-2M MAU, ~200 staff. **Funding**: $130M Series C at $1.5B post-money valuation (5x jump from Jan). Total raised $230M. Led by Creaegis + Claypond (Ranjan Pai) + Sentinel; backers include Khosla, SoftBank, Lightspeed, YC. **Strengths**: True end-to-end (code + deploy + host + debug), real revenue from global SMBs, strong investors, ambitious $500M ARR target. **Risks**: Hyper-competitive space (Cursor, Replit, Lovable + big AI labs). Reliability for complex apps still evolving. Sky-high valuation demands flawless execution. Rapid unicorn in ~1 year — impressive momentu

Explore a 3D showcase of AI agent orchestration with real-time project health metrics and live logs.
@patologico · X

Schedule and manage AI agent tasks directly from Google Calendar.
matt413 · HN
Schedule tasks for your AI agents from Google Calendar

Scores AI-generated ad creative and returns verdicts (run/fix/kill) via MCP and REST API.
ds246 · HN
Spendict – a performance marketer's verdict for AI agents, over MCP

Security middleware that detects prompt injection, persona hijacking, and data exfiltration for AI agents.
@SecraHQ · X