Optimize business info to be used as AI memory for consistently high-quality outputs with 5-10x fewer iterations required across AI tools & team -Tailored to Marketing tasks -Info quality scoring & refinements -Multi-product/audience management -API/Zapier/MCP
Hey THEO team! 👋 This is exactly what I've been looking for. Getting consistent AI outputs across different tools and projects is such a headache, and "prompt engineering" often feels like guessing. The idea of a "business DNA" as a single source of truth sounds incredibly powerful. ✨ I'm curious, how does THEO manage ongoing updates to this core context? Is it a manual re-upload, or are there more dynamic sync options?
Great to see that context engineering is getting to domains other than just coding!
This resonates. I’ve wasted a lot of time writing the same intros about our products to different chats as they tend to become slow and glitchy as the chats grows older and has more history. And yeah - giving it too much info can definitely worsen the output. Not easy to find the perfect balance. Will have to try your tool.
"consistently high-quality outputs with 5-10x fewer iterations" - sweet words to read!
Really love what you are doing! Applying your business context to different LLM use cases is always a massive pain -- this looks very useful!
Hey Product Hunters! 👋
Guntis here, co-founder of THEO. Eight months ago, you gave us support and incredible feedback on our mission: making AI truly understand your unique business nuances.
When AI gets your in-depth business DNA, you stop being a prompt engineer and start being a strategist.
Focus on what you want to achieve, not explaining what you do, hoping you didn't miss something..
Users report 5-10x less iterations required to get to results they want - across chats, AI tools and team.
The Problem We're Solving 🎯
When we launched a year ago, what we were doing didn't even have a name yet. We just knew AI needed better business context.
Now there's a whole field called "context engineering" - and we're happy the awareness has caught up.
Too little or too much information makes AI less accurate - it gets lost trying to parse through everything. The fix exists, but it's complex. We've made it simple.
The Magic Moment ✨
Upload your optimized context file. Nothing else changes - same prompts, same AI tools. But you get consistently high-quality outputs instead of hit-or-miss results (regardless the prompt).
You can add campaign details or current events on top, but you never have to think about the foundation again.
Your feedback shaped everything - THEO 2.0 🚀:
✅ 40+ business areas analyzed - (from 20) for richer, multi-perspective business understanding
✅ Multi-project management - Separate contexts for different products, audience, clients
✅ Browser extension - Auto-setup CustomGPTs with pre-loaded context and re-upload if things change
✅ AI-powered refinement engine - Our agent helps you make precise updates exactly where needed, keeping everything clean and aligned
✅ Quality scoring & update recommendations - We highlight areas that need more information and guide you toward perfect business DNA
✅ API/Zapier/MCP integrations - For the builders who asked for automation
Launch Special - Today only🎁
50% discount for the Complete Knowledge one-time payment + 1 month FREE subscription with unlimited context refinements!
We're building toward overnight quality checks, proactive monitoring, and dynamic agents that keep your business DNA optimized everywhere.
The Product Hunt community's feedback has been invaluable in our journey🙏
About THEO 2.0 on Product Hunt
“Business Context Engineering Made Simple for Marketing Teams”
THEO 2.0 launched on Product Hunt on July 24th, 2025 and earned 175 upvotes and 19 comments, placing #6 on the daily leaderboard. Optimize business info to be used as AI memory for consistently high-quality outputs with 5-10x fewer iterations required across AI tools & team -Tailored to Marketing tasks -Info quality scoring & refinements -Multi-product/audience management -API/Zapier/MCP
THEO 2.0 was featured in Marketing (462.7k followers), SaaS (41.5k followers) and Artificial Intelligence (466.2k followers) on Product Hunt. Together, these topics include over 197k products, making this a competitive space to launch in.
Who hunted THEO 2.0?
THEO 2.0 was hunted by Tristan Pollock. 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 THEO 2.0 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Tristan Pollock
Hey THEO team! 👋 This is exactly what I've been looking for. Getting consistent AI outputs across different tools and projects is such a headache, and "prompt engineering" often feels like guessing. The idea of a "business DNA" as a single source of truth sounds incredibly powerful. ✨ I'm curious, how does THEO manage ongoing updates to this core context? Is it a manual re-upload, or are there more dynamic sync options?