Looking for a technical cofounder to build a B2B SaaS for insurance agents
I’m building AgentGrowth OS™ — a daily sales execution system for insurance agents.
This is NOT:
- a CRM
- a lead-selling platform
- coaching
It’s an execution system that helps agents close more deals with the leads they already have.
The market is large (US insurance agents), subscription-based ($97 / $197), and focused on execution: prioritization, scripts, daily actions.
I’m looking for a technical cofounder / builder who:
- enjoys building MVPs
- thinks in systems, not features
- is interested in equity (not freelance work)
I handle vision, positioning, and go-to-market.
Looking to build together from MVP to traction.
Happy to share the deck and discuss.
Trending on Indie Hackers
I would be glad to explore the opportunity to work with you. We can connect via email at [email protected]
Additionally, could you please share your LinkedIn profile?
I look forward to discussing this further.
Hello Gargouri,
At Code Colonies, we collaborate with founders as a co-founder-level tech partner, helping build and scale execution-focused products like AgentGrowth OS, from MVP to traction, with strong expertise in backend systems, AI workflows, and scalable architectures.
Hi Pooja,
Thanks for reaching out.
To clarify, I’m currently exploring a very specific direction:
a simple execution-focused MVP with strong emphasis on behavioral design and prioritization, not a complex platform.
At this stage, I’m primarily looking for a technical co-founder-type profile rather than a service-based build.
That said, I’m open to learning more about how you typically structure co-founder-level collaborations, especially if there’s alignment on long-term involvement.
Looking forward to hearing more.
Best,
Hello Gargouri,
Thank you for your response!
If you have a LinkedIn profile, I would be happy to connect with you there for easier communication. Also, could you please share your email ID so I can send across the relevant documents for your review?
Looking forward to hearing from you!!
Hi Pooja,
Thank you for your message.
You can reach me directly at:
info@gig-tc.com
Before reviewing documents, I’d like to better understand how you structure “co-founder-level” collaboration in practice, specifically in terms of long-term involvement and ownership vs service-based engagement.
Looking forward to learning more.
This comment was deleted 4 months ago.
The question you're asking candidates — "what should the system decide in the first 5 minutes" — is the right one, but I'd push it further.
The real question isn't what to show the agent. It's what to HIDE.
Insurance agents are drowning in lists of leads, tasks, follow-ups, and reminders. Every tool they use adds more things to look at. The value of an execution system isn't adding information — it's removing decisions.
With limited data (timestamps, lead source, product type, last contact), the system should do three things on login: show exactly who to call first with a one-line reason why ("requested quote 2 days ago, no follow-up yet — highest close probability"),
hide everything else until that call is done, and after each completed action, surface the next one. Never show a list of 50. Show a list of 1.
The scoring doesn't need to be complex to earn trust. Simple, transparent rules beat a black-box ML model at this stage.
"This lead is first because they're 48 hours post-inquiry and that's your highest conversion window" — agents can verify that logic against their own experience.
Once they see the system matches their instincts, trust builds naturally.
What I'd exclude from the MVP: dashboards, analytics, reporting, CRM-style views, and any feature that lets agents BROWSE instead of EXECUTE.
The moment you add a dashboard, agents spend 20 minutes looking at data instead of making calls. The system should feel more like a GPS ("turn left here") than a map ("here's every road").
Hi, this is an excellent perspective.
You're absolutely right: the value isn’t in showing more, it’s in removing decisions.
“Hide everything else until that call is done” really resonates.
That aligns with the execution-first philosophy behind AgentGrowth OS.
I also agree that simple, transparent rules will build trust faster than any black-box scoring model at this stage.
Your GPS vs map analogy is spot on.
Would love to continue this conversation, are you building in the execution/automation space as well?
Mr. Gargouri
Thanks man, appreciate that.
Yeah I’m deep in this space — I build SaaS products, mostly B2B.
Right now I’m working on a platform that lets businesses spin up their own multi-tenant apps without code.
So execution workflows, automation, that whole world is basically what I live in daily.
What caught my eye about your post honestly wasn’t the idea itself (insurance is a solid market, but ideas are cheap) — it was HOW you’re thinking about it.
The fact that you’re validating with real agents before writing a single line of code, and that you’re filtering technical people with product-level questions instead of just looking for hands to code… that’s rare on here.
I’d be down to hop on a call if you’re open to it. Not pitching anything, just curious to hear more about what you’re learning from the agents you’re talking to and where your head is at on the build.
Appreciate that, that means a lot coming from someone deep in the space.
And I agree completely, ideas are cheap. Execution logic is everything.
What I’m really testing right now isn’t features, it’s behavior:
Do agents actually want decisions removed?
Will they trust a system that hides 49 leads and shows 1?
Where does automation help vs hurt?
Would definitely be open to a call.
Curious to get your take from a system-design perspective.
What time zone are you in?
Those are the right questions to be obsessing over honestly.
Especially the trust one — because if an agent doesn’t trust the system in week one, they’ll just go back to their spreadsheet and you’ve lost them forever.
That’s why I liked the simple transparent rules approach over any scoring model early on. You can always add complexity later, you can’t add trust back.
I’m on EET (UTC+2). Pretty flexible though, I can make most time slots work. What works best for you?
Appreciate that, completely agree.
“You can’t add trust back later” is exactly what I’m thinking about right now.
Let’s do a 20-minute Zoom focused purely on:
– validation feedback from agents
– trust & behavior design
– what the true MVP should hide vs show
I’m CST (UTC-6).
Would tomorrow at 6 PM your time (EET) work?
If not, feel free to suggest a slot and I’ll adjust.
Looking forward to it.
This is exactly what I’m looking for — I’m building an AI-powered MVP in the financial advisor space (lean, no-code/AI workflows). Would love to connect if you’re open — feel free to DM or share the best way to reach you.
Hi Mr. Gargouri,
At Centaur Lab, we have over 10 years of experience collaborating with founders by funding and co-developing solutions, offering technical expertise, resources, and support to accelerate product development.
I’d love to arrange a chat with you and our team to explore whether this approach aligns with your vision. Let me know if you’re interested!
You can find out more information about our offerings in my bio.
Hope to hear from you soon
Hi,
Thanks for reaching out and for the introduction to Centaur Lab.
At this stage, I’m still focused on early validation with real insurance agents and refining the execution model before moving into any build or co-development phase.
I’m open to keeping the conversation high-level for now, but I’m not engaging in funded build or studio-style development yet.
If you can share, at a high level, how you typically collaborate with founders at the pre-MVP / validation stage (especially regarding equity vs cash), that would be helpful.
Best regards,
Gargouri
Hi Gargouri,
Great question. We typically work with founders on a cash-equity basis. We’re open to funding part or even the full cost of development in exchange for equity, and the level of investment we commit will depend on the potential we see in the solution.
For ideas that are still pre-MVP, we usually begin with a Discovery Phase. During this stage, we focus on deeply understanding you, the problem you’re aiming to solve, and the users you’re targeting. We’ll challenge assumptions, provide candid feedback, and suggest ways to shape the idea into something more investable. We also define the scope of an MVP by identifying the core features needed to validate the concept and assess feasibility.
Alternatively, we’ve recently introduced a more iterative approach where discovery, validation, and development happen in parallel. This allows us to test assumptions earlier, adapt quickly based on user feedback, and better capture real user needs as we build.
Feel free to reach out if you have any questions, we'd be happy to have a conversation.
Hi Mr. Gargouri,
Your focus on 'Execution over CRM' is exactly what the B2B SaaS market needs right now. Having built 12 Micro SaaS products, I’ve seen how founders often get lost in features while ignoring the core system logic.
To answer your question about the first 5 minutes: The system should instantly provide 'High-Intent Prioritization'. Instead of showing a list of leads, it should tell the agent: 'Here are the 3 people you MUST call right now because their behavior (or data) indicates they are 80% close to a decision.' It should remove the 'choice fatigue' and give them a script and a goal for those 5 minutes.
I specialize in building MVPs that focus on these high-value workflows using AI-driven prioritization. I’d love to see the deck and discuss how we can build a lean, execution-focused OS that agents can't live without.
I am ready to start immediately. Let's connect!
Hello Sir,
This is a strong answer , you clearly understand the execution problem and the importance of removing choice fatigue. The “first 5 minutes” framing and high-intent prioritization is exactly the type of system-level thinking I’m looking for.
At the moment, I’m deliberately validating the execution logic with real insurance agents before committing to any build. My priority is pressure-testing the decision rules, signals, and workflows in the real world so the system earns trust immediately.
Before sharing any deck or discussing a build, I’d like to go one level deeper on the system itself.
Question:
If the system only had access to limited data at the beginning (timestamps, lead source, product type, last contact, basic interaction signals), how would you design the prioritization logic so agents trust it from day one, without overfitting or black-box behavior?
Looking forward to your thoughts.
Best regards,
Gargouri
Hello Mr. Gargouri,
I came across your post and found the AgentGrowth OS™ concept very compelling — especially the focus on execution rather than yet another CRM or lead platform.
I currently work as a Software Engineer and Full Stack Developer, with experience building product-oriented SaaS solutions. I’m comfortable communicating in English and collaborating in international environments. I’m based in Brazil, but I work remotely and already operate in a global context.
What particularly resonated with me is your emphasis on systems thinking, MVP building, and execution-driven outcomes. I’m very interested in the idea of building something from MVP to traction, and I’m open to equity-based partnerships rather than freelance work.
I’d be happy to learn more about your vision and take a look at the deck.
Here’s my LinkedIn for more context about my background:
thaiscalvi - Software Engineer
Thank you for sharing this opportunity. I’m available to talk whenever it makes sense for you.
Best regards,
Thata
Hi Thata,
Thank you for the thoughtful message, I appreciate how clearly you understood the execution-first positioning of AgentGrowth OS™. The fact that you resonated with the system thinking and MVP-to-traction focus is a good sign.
At this stage, I’m intentionally validating the execution model with real insurance agents before moving into any build or sharing detailed materials. I want to make sure the core workflows and decision logic are pressure-tested in the real world first.
That said, I’m open to discussing the product at a high level, especially around system design, prioritization logic, and how an execution engine should behave day to day for an agent.
Before sharing any deck or details, I’d be curious to hear your thoughts on this:
If an insurance agent logs in each morning, what should the system decide for them in the first 5 minutes, and why?
Looking forward to your perspective.
Best regards,
Gargouri
Hi Said,
First of all, thank you for your patience with my delayed response.
Regarding your question:
If an insurance agent logs in each morning, I believe the system should make three key decisions for them within the first five minutes:
Which opportunity has the highest probability of closing today.
What specific action should be executed first.
How that action connects directly to their daily target.
Execution usually fails not because of lack of leads, but because of lack of clarity and prioritization. A strong execution engine should reduce cognitive load by eliminating secondary decisions and presenting a very clear daily plan.
Conceptually, I would imagine:
– Prioritization based on close probability + time since last contact + deal value.
– A specific recommended action (call, structured follow-up, proposal).
– Contextual script suggestion.
– A visible daily goal with progress tracking.
In the first five minutes, the agent shouldn’t be thinking — they should be executing.
I’d be very interested to hear how you’re validating this logic with real agents and what behavioral patterns you’ve observed so far.
Looking forward to continuing the conversation.
This aligns well with my approach.
I enjoy building MVPs end-to-end and usually focus on system-level thinking rather than just features.
I’m looking for an equity-based partnership and happy to explore whether there’s a strong fit to build from MVP through early traction.
tg:https://t.me/milanjones0x1985
That’s good to hear. I’m intentionally filtering for people who think in systems and decision logic, not just MVP speed or feature delivery.
At this stage, I’m validating the execution model with real insurance agents before committing to a build or partnership. Fit matters more to me than velocity.
To explore alignment, I’d be curious about your perspective on this:
What would you deliberately exclude from an MVP execution system to avoid overbuilding, even if users ask for it early?
Happy to continue the discussion here before moving anywhere else.
This comment was deleted 6 months ago.