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).
Performant
Turn messy client requests into ready to ship tasks.
Performant puts an agent between your clients and their website or app codebase, turning requests into prompts for your team or coding agent. Clients explain their changes or requests in plain English and our patient intake agent uses project and codebase context to confirm the scope. Your team gets a structured brief and prepared engineering prompt to pull into Codex through MCP, build in its own setup, and return for review. Progress, updates, and approval stay together under your brand.
Hi Product Hunt — I’m Ryan, founder of Performant in Tokyo.
I built Performant after seeing the same problem across client website and app work. The code change may be small, but understanding what the client actually means can take longer than the build.
Why not put an agent between my messy client conversations and their code, so I can focus on shipping?
Performant gives each client a workspace under your brand where they can explain a request naturally. A patient intake agent uses project and codebase context to ask useful follow-up questions, the client confirms the scope, and your team receives a structured brief and prepared engineering prompt.
With Codex, you can pull approved requests through MCP into the setup and subscription you already use, then return progress and results to Performant for review and client approval. Prefer another model? API connections keep that choice open.
I'm launching for studios and developers building client websites and apps with coding agents. I’d love to hear where clarification or handoff breaks down in your current client workflow.
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About Performant on Product Hunt
“Turn messy client requests into ready to ship tasks.”
Performant was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #17 on the daily leaderboard. Performant puts an agent between your clients and their website or app codebase, turning requests into prompts for your team or coding agent. Clients explain their changes or requests in plain English and our patient intake agent uses project and codebase context to confirm the scope. Your team gets a structured brief and prepared engineering prompt to pull into Codex through MCP, build in its own setup, and return for review. Progress, updates, and approval stay together under your brand.
Performant was featured in Developer Tools (519.8k followers), Artificial Intelligence (479.1k followers) and OpenAI Day (39 followers) on Product Hunt. Together, these topics include over 208.4k products, making this a competitive space to launch in.
Who hunted Performant?
Performant was hunted by Ryan Alldridge. 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 Performant stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ryan Alldridge
Hi Product Hunt — I’m Ryan, founder of Performant in Tokyo.
I built Performant after seeing the same problem across client website and app work. The code change may be small, but understanding what the client actually means can take longer than the build.
Why not put an agent between my messy client conversations and their code, so I can focus on shipping?
Performant gives each client a workspace under your brand where they can explain a request naturally. A patient intake agent uses project and codebase context to ask useful follow-up questions, the client confirms the scope, and your team receives a structured brief and prepared engineering prompt.
With Codex, you can pull approved requests through MCP into the setup and subscription you already use, then return progress and results to Performant for review and client approval. Prefer another model? API connections keep that choice open.
I'm launching for studios and developers building client websites and apps with coding agents. I’d love to hear where clarification or handoff breaks down in your current client workflow.
<3 Thanks!