Product Hunt Alternatives for AI Agents: Seven Free Places to Launch
An AI agent is easiest to launch where the audience already collects agents: an agents directory, a curated awesome list, a developer launchpad such as DevHunt, or a Hugging Face Space that others can call as a tool. Show HN fits if you offer a sandbox. Product Hunt reaches more people, but an agent’s buyers tend to want to inspect what it does before they trust it.
What makes launching an agent different from launching an app?
An agent takes actions: it sends the email, edits the file, books the slot. That changes what a launch visitor asks. They do not wonder what the buttons do; they wonder what happens on the day it gets something wrong, and whether they can watch it work first. A launch page for an agent earns trust with a visible log of one real run, a clear list of what it may touch and a way to try it without connecting a real account.
So the places below split into two kinds. Some are shelves where people browse agents the way they browse apps. Others are rooms where developers inspect and reuse your work. Pick one of each. Platform details come from their own pages, read on 13 November 2026.
Where can an AI agent launch for free?
01 AI Agents Directory
A directory and marketplace its own page says lets you compare agents by use case, pricing, model and integrations.
- Filters
- Use case, pricing, model, integrations; separate free and open-source views
- Submit
- A Submit link in its menu; we did not read the terms behind it
People arrive here to compare agents, so fill in the filter fields honestly: the model you call, the integrations that really work and whether a free tier exists. A listing that matches a filter nobody can verify tends to cost you goodwill later. Read the submit terms for any fee first.
02 Awesome AI Agents (E2B)
A public GitHub list split into open-source projects and closed-source projects and companies.
- Route in
- The README links a “Submit new product” form
- Where it sits
- On GitHub, with a web version that filters by category and use case
The list says it is made to the maintainers’ best knowledge and is not comprehensive, so inclusion is not a stamp of quality. It works as a durable reference link: developers find it by searching GitHub, which is where an open-source agent’s README, stars and issues already live.
03 DevHunt
A launchpad for developer tools whose weekly batches visibly include agent products tagged AI Agents.
- Voters
- Developers who sign in with GitHub or Google
- Free listing
- Yes, with nofollow links; a paid launch gets a dofollow link
Choose it if your agent is something developers embed, call by API or run in their own pipeline. The voters are the people who will read your docs. If your agent is for a non-technical buyer, the audience is wrong for it.
04 Hugging Face Spaces
Hosted demos on the Hub, whose docs include pages on Spaces as agent tools, as MCP servers and as API endpoints.
- Free limit
- Static Spaces are free; Gradio and Docker Spaces need a paid plan, apart from up to 2 ZeroGPU Gradio Spaces on a free personal account
A Space is a way to let others call your agent without installing it. That is a sandbox and a distribution channel at once. Because the free tier is narrow, a static front end that talks to your own endpoint may be the free-to-host route.
05 Show HN
Hacker News’s section for projects people can run, with guidelines against landing pages and generated one-offs.
- On topic
- Things people can run; sign-up pages and newsletters are off topic
- Ask
- Make it easy to try, ideally without sign-ups
Offer a sandbox mode with fake data and a transcript of one real run, and you meet the rule that the work be easy to try. A launch whose only entry point is “connect your Gmail” asks readers for a leap they should not take.
06 PeerPush
A discovery site whose footer lists an MCP server, a ChatGPT plugin and a Claude connector for finding products.
- Free route
- Free account; free submissions queue, and its FAQ says the queue can be long
- Why it fits agents
- Products are stored as structured data that assistants can read
An agent that is meant to be recommended by other agents suits a site that describes itself to assistants. We cannot say how often that produces visits; test it with a tagged link.
07 Post your build ideas
Our free launch board. We run it, so the reasoning is ours to disclose.
- Account
- None; one emailed link publishes the launch
- Limit
- A small, new audience
Use it for a stable public page, written with care because it is final once published, with threaded comments where early users can describe failures. The AI agent ideas category shows what builders are asking for, which is useful input for your next release.
How should an agent maker choose?
| Place | Who browses it | Choose it when |
|---|---|---|
| AI Agents Directory | Buyers comparing agents | You can state model, pricing and integrations plainly |
| Awesome AI Agents | Developers on GitHub | The agent is open source or has public docs |
| DevHunt | Developers who vote | It ships as an API or SDK |
| Hugging Face Spaces | Model and demo browsers | You can host a safe demo |
| Show HN | A technical crowd | A sandbox exists |
| PeerPush | People and assistants | Structured data is your edge |
Start with the places that cost nothing and lead with a sandbox. Work through the AI agent launch playbook for a dated plan, and the MCP server launch alternatives if the agent also exposes tools over MCP.
Does Product Hunt still make sense for an agent?
Yes, if the agent serves a general buyer and you can bring early voters. Its audience is the largest on this list. Its own site refused our automated check, so we claim only the basics: a daily ranking, sign-in and curated featuring. Read Product Hunt alternatives for the neutral list, and is Product Hunt worth it before you spend a week preparing.
Frequently asked questions
Where do people look for AI agents?
They look in agent directories, in GitHub lists such as Awesome AI Agents, on developer launchpads like DevHunt and in model hubs such as Hugging Face. We cannot rank them by traffic. List where your buyer already browses, and tag every link so you can see which one sends visitors.
Do I need a sandbox to launch an agent?
Strictly, no, but it is the easiest way to earn trust. A sandbox with fake data and a recorded run lets visitors see what the agent does without handing over an account, and it satisfies Show HN’s ask that people can try the work without barriers.
Is DevHunt right for a no-code agent?
Only if developers are your buyers. It is a launchpad for developer tools, and its voters sign in with GitHub or Google. An agent aimed at marketers or small-business owners will find a better audience in a general directory.
Can I list the same agent in several places?
Yes. None of the sites we read asks for exclusivity. Keep one description, stagger the posts so you can answer comments, and do not paste the same promotional message into every community.
Post your build ideas publishes this page and runs a free launch board that competes with some of the sites it names. Facts about other sites came from their own pages on the date shown above; terms, queues and prices change, so confirm on their sites before you decide. About the publisher.