This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
NativeForm turns conversations into clean, structured data. Create forms from a prompt, share them as conversational links, collect responses from Slack threads, and let AI agents submit data through API, MCP, or CLI. Smart Fields normalize, score, categorize, and route every response so form data is ready for automation instead of cleanup.
Hey Product Hunt 👋
I'm Théo, founder of NativeForm.
I built NativeForm because forms feel stuck in the past. Most form builders still assume the same thing: a human opens a link, fills boxes, and someone cleans the messy answers later.
That assumption is breaking.
People now answer through chat. Teams work in Slack. AI agents are starting to browse, compare, and take actions on behalf of users. So forms need to become more than static fields. They need to be conversational, structured, and programmatic from day one.
NativeForm is my take on that:
- Create a form by describing what you need
- Share it as a conversational link or embed
- Collect responses directly from Slack threads
- Normalize messy answers into clean typed values
- Add Smart Fields for scoring, categorization, sentiment, urgency, routing, and more
- Connect everything through webhooks, API, MCP, and CLI
- Let AI agents fill and manage forms, not just humans
The goal is simple: every response should arrive already usable by your automations, CRM, support flow, ops process, or agent workflow.
I'd love feedback from founders, ops teams, and developers building with agents:
What would you use agent-native forms for?
What integrations would make this immediately useful for your workflow?
Happy to answer anything today.
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About NativeForm on Product Hunt
“AI-native forms for humans, Slack, and agents”
NativeForm was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #158 on the daily leaderboard. NativeForm turns conversations into clean, structured data. Create forms from a prompt, share them as conversational links, collect responses from Slack threads, and let AI agents submit data through API, MCP, or CLI. Smart Fields normalize, score, categorize, and route every response so form data is ready for automation instead of cleanup.
NativeForm was featured in Productivity (650.7k followers), Artificial Intelligence (467.3k followers) and No-Code (5.6k followers) on Product Hunt. Together, these topics include over 224k products, making this a competitive space to launch in.
Who hunted NativeForm?
NativeForm was hunted by Théo Reumont. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how NativeForm stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Théo Reumont