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  • Opportunity Radar
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11,067 products · 19,805 snapshots
Timbal AI

Timbal AI

#1 today

Build AI agents, workflows, and apps in one stack

Launched 17d agoProduct Hunt Website
Votes
507
Comments
104

What this means

4.1×Growing 4.1× faster than the typical AI Agents launch.
Compared to 65 AI Agents launches at the same age.
60%Top-5 finish probability today: 60%.
Projected 507 votes by end of day-1 (range 380–684).
-34%Category cooling: Artificial Intelligence.
Launches down 34% week-over-week.
70%Strong buyer-intent signal in the comments.
70% of commenters sound like potential buyers — mostly developers.
76%Comment sentiment overwhelmingly positive.
Audience strongly receptive — developers engaged.
Users are asking for guided import feature + more templates.
Feature requests surfaced from the comment thread.
Recurring concerns: migration challenges, complexity concerns.
Pain points mentioned more than once in comments.

Prediction

Top-5 finish probability
60%
today
Projected end-of-day votes
507range 380–684
Trajectory
stable
Vote pace holding steady.
Speed vs peers
4.1×
65 AI Agents launches

About

Timbal helps teams turn AI prototypes into production systems. Build agents and workflows, connect them to your data, design interfaces, deploy, monitor, evaluate, and govern everything from one platform. Instead of assembling separate tools for retrieval, orchestration, UI, observability, and evals, Timbal gives you one core for shipping reliable AI applications.

AI Summary

Timbal AI is a SaaS platform that enables teams to develop, deploy, and manage AI agents and workflows from a single interface. It streamlines the process by integrating tools for data connection, interface design, monitoring, and evaluation.

Vote & comment velocity

Scores

Velocity12.6
Vote pace vs avg
Momentum12.6
Sustained over 6h
Virality21.8
Spread × engagement
Engagement41.0
Comments per vote

Founders

David Berges
David Berges
@bergesctl
rep 68
Haylli Weintraub
Haylli Weintraub
@haylli_weintraub
rep 78
Pedro Olivares
Pedro Olivares
@pedrolivares
rep 68
Inés Castillo
Inés Castillo
@inescastillo
rep 68
Marti Norberto
Marti Norberto
@marti_norberto
rep 68
Isaac Grau
Isaac Grau
@isigr57
rep 68
David Vilalta
David Vilalta
@david_vilalta
rep 68
Ben Lang
@benln · hunter

Topics

SaaSArtificial IntelligenceProductivity

Comment Intelligence· 25 comments analysed

Sentiment

Positive76%
Neutral16%
Negative8%
Buyer intent
70%
of commenters sound like potential buyers
Audience
developers
Sentiment over 5 days
Positive
Negative
Buyer intent
Overall vibe

Overall, commenters appreciate Timbal AI's focus on workflow integration and production challenges in AI development.

Top themes
  • workflow integration
  • production focus
  • tool consolidation
  • monitoring
  • governance
Feature requests
  • guided import feature
  • more templates
  • customization options
  • real customer stories
  • scalability insights
Complaints
  • migration challenges
  • complexity concerns
  • comparison with competitors
  • scalability questions
  • tool sprawl

Top comments

[REDACTED]
↑ 18

<p>what stood out to me is that you're thinking about monitoring and evaluation from the start those are usually the things people only worry about after they've already shipped. </p>

[REDACTED]
↑ 16

<p>I've built a few AI workflows recently and i've realized the hardest part isn't getting the first demo working it's everything that comes afer. i love that Timbal is focusing on the production side instead of stopping at the prototype. </p>

[REDACTED]
↑ 13

<p>I've found myself jumpingh between way too many AI tools on a single project so the idea of bringing everything togetehr really stand out. Less context switching usually means I can spend more time building. </p>

[REDACTED]
↑ 8

<p>Hey Product Hunt 👋🏻<br><br>I'm Martí, co-founder and CEO of Timbal AI.<br><br>In today's AI world, going from 0 to 1 it's easy fast and cheap, going from 1 to 100 is not. <br><br>Complex data, legacy software, messy folders and heavy compliance and cybersecurity requirements, that's the enterprise reality.<br><br>You can prototype an agent in an afternoon, but then the real work starts. You have to wire together a vector database, an orchestration framework, a UI tool, and an observability layer. Before you know it, you're maintaining a fragmented stack of vendors, and your app still breaks in ways you can't easily trace.<br><br>Timbal is the unified stack that closes that gap. Everything you need to go from idea to production lives in one place:<br><br>A Database Native to AI: Run vector, keyword, and relational searches in a single query, ensuring your agents are always grounded in your actual data.<br><br>Deterministic Workflows: A reliable runtime for agents with built-in observability, traceability, and evals. You will always know exactly why your AI made a specific decision.<br><br>Omnichannel Visual Builder: Turn your logic into real apps instantly. Ship directly to the web, WhatsApp, email, or voice.<br><br>Our core is open source (Python framework, NPM packages, and TypeScript SDK on GitHub). You can stay in the code, build visually, or seamlessly mix both.<br><br>Putting this in front of the PH community is the milestone we’ve been waiting for. We want your brutal feedback—tell us what you'd build, what's missing, and where you think we're wrong.<br><br>Let's chat in the comments!<br><br>Martí &amp; the Timbal team</p>

Sentiment computed via openrouter