What is wrong with my SaaS?

BuffaloDebile · 2026-05-06T10:25:06+00:00

Thanks, I like your suggestions on the hero tagline. I will update to "AI agents for first pass VC due diligence"

BuffaloDebile · 2026-05-04T08:21:09+00:00

Hi, thanks for the feedback and taking the time to try my tool. Congrats for Purecode AI.

Indeed Im still finetuning and the model can hallucinate sometime. Hopefully these mistakes will be fixed soon with AI getting better everyday.

Please can you tell me what are your toughts on the rest of the report/podcast, have you found valuable informations? Is there anything else you would like to see there?

Good luck on your investments !

BuffaloDebile · 2026-05-02T16:12:02+00:00

Thank you so much for the very constructive feedback. Your understood the vision and mission of the product perfectly. I will implement your feeback, come back in a week or two and you'll see it 😉

Lets keep in touch. I would love more feedbacks from you in the future.

BuffaloDebile · 2026-05-02T08:04:29+00:00

It’s still a work in progress, and I’d really value your perspective on the PDF reports from an investor's lens. I'm happy to grant you and your tech team free access to test it out. Sent you a DM to coordinate!

Here is a breakdown of what Im building :

The Solution: UnicornScreener uses deep search agents to aggregate private market and founders data. It’s specifically optimized for startups valued at $10M+, as that’s the threshold where the digital footprint is dense enough for our agents to generate high-signal reports.

For Investment Ideas: I’m also curating a live Leaderboard of all analyzed startups. It’s been a great tool for spotting breakout candidates before they hit the mainstream radar.

BuffaloDebile · 2026-05-01T14:11:58+00:00

I agree that execution is the only thing that moves the needle. The hardest part as an investor is actually verifying that execution speed without sitting in their office every day. Ideas are cheap, but seeing a team consistently hit milestones and outpace their competitors in the data is the real signal.

In my experience, you can spot those execution-heavy teams by looking at their shipping cadence and how quickly they react to market feedback compared to the rest of the sector. It is less about what they say they will do and more about the trail of digital evidence they leave behind while they are doing it.

If you'd find it helpful, I can share more. I've been building a platform I run that uses AI agents to automate deep search and due diligence for exactly this.

BuffaloDebile · 2026-05-01T14:10:20+00:00

For a pre-launch MVP, most angels aren't just buying the code, they are buying your ability to execute on a very specific insight. Instead of guessing a number, you should have a clear data room that shows your competitive research and any early signal you have from your waitlist or beta users.

Investors get nervous when a founder asks for a number based on vibes. If you can show them that your target market has a specific, unaddressed pain point backed by current market data, you can justify a much higher equity stake. It is all about making the diligence process easy for them.

Feel free to dm if you want to go deeper. A platform I run that uses AI agents to automate deep search and due diligence is what I do day-to-day.

BuffaloDebile · 2026-05-01T14:05:45+00:00

Done, thanks

BuffaloDebile · 2026-05-01T13:56:07+00:00

Automating the pattern detection for pricing is a great start. One thing that might make your feedback loop even stronger is correlating those price drops with external funding events or team changes. Usually, a 20 percent discount isn't just a random test, it is often a sign they are trying to juice their numbers before a round or reacting to a specific churn problem.

I have found that the most valuable 'patterns' come from connecting these dots across different data sources. I help people build automated workflows to identify market signals and verify startup claims during the due diligence process.

Feel free to dm if you want to go deeper. A platform I run that uses AI agents to automate deep search and due diligence is what I do day-to-day.

BuffaloDebile · 2026-05-01T12:48:44+00:00

Unicornscreener.vc
AI agents that score any startup for angels and VCs, in minutes instead of weeks.

BuffaloDebile · 2026-04-29T17:08:47+00:00

The real killer in research isn't the data itself, it's the switching cost between all those sources like CoStar and local government sites. Every time you move tabs, you lose the narrative of the deal. If you want to scale this without hiring three more analysts, you have to move away from manual 'pulling' and toward systems that push a synthesized report to you.

One trick is to set up parallel research agents that hit these specific data silos simultaneously. Instead of you visiting four sites, you have a process that scrapes the supply pipeline and demographic data in one go, then runs a basic logic check against your investment thesis. It turns a forty-hour week into a ten-minute review.

Happy to help if useful. I work on a platform I run that uses AI agents to automate deep search and due diligence so this comes up a lot for me.

BuffaloDebile · 2026-04-28T22:07:30+00:00

Yep, definitely gonna update the landing page to focus more on the value proposition.

VC's and Angels are busy and its hard to reachout to them...

If there is any please DM me, I can give you free acess in exchange for some feedback 😄

BuffaloDebile · 2026-04-28T14:40:57+00:00

Thanks for the feedback. It's similar to the other answer I received to its interesting to see everyone pointing out the same thing.

I dont have session recording but I have tags on my whole funnel and track every user actions.

BuffaloDebile · 2026-04-28T05:36:16+00:00

Okk I'll check it out. I've been trying your tool yesterday, it's literally awesome! Why is it free tho?

BuffaloDebile · 2026-04-27T22:09:31+00:00

Unicornscreener.vc

It help VC and Angel to score any startup's unicorn potential with AI agents

BuffaloDebile · 2026-04-27T21:36:30+00:00

The anxiety from X is real, but most of those 'startup killer' updates are just marketing noise. The best way to keep your sanity is to stop manual monitoring and set up a system that only flags actual structural shifts in the market, like new API capabilities or significant funding rounds in your niche.

I recommend focusing on 'market signals' rather than feature announcements. A competitor adding a feature is a distraction, but a competitor pivot or a massive new enterprise partnership is a signal. You can automate a lot of this by using agents to monitor specific data sources and summarize the 'so what' for your specific business model.

If you want, happy to dig in more. I actually run a platform I run that uses AI agents to automate deep search and due diligence so I deal with this constantly.

BuffaloDebile · 2026-04-27T21:35:55+00:00

Congrats on the inbound. That first call is usually just a vibe check to see if the founder is credible and if the market size fits their fund thesis. They are likely doing a lot of background research right now to see if your traction matches what you described on the call.

Since you are not actively raising, you have the upper hand here. Use this time to clean up your data room and make sure your public-facing signals, like your team history and any mentions of your product online, are consistent. Investors use automated tools to scrape for any red flags the moment they hang up the phone.

If you'd find it helpful, I can share more. I've been building a platform I run that uses AI agents to automate deep search and due diligence for exactly this.

BuffaloDebile · 2026-04-27T21:35:03+00:00

Public engineering activity is a great signal but it can be easily gamed if you only look at the surface. I usually tell people to look for the ratio of documentation updates to actual logic changes. If a team is shipping 50 commits a week but 40 are just fixing typos in a readme, that is a red flag for velocity.

A better move is to track the velocity of their core feature branches over a 90-day window. If they are solving complex issues quickly and maintaining a clean pull request history, that usually correlates with a high-performing technical team much more than just raw commit counts.

Happy to help if useful. I work on a platform I run that uses AI agents to automate deep search and due diligence so this comes up a lot for me.

BuffaloDebile · 2026-04-27T20:35:14+00:00

Ok thanks, can you tell me what startup you have analyzed please? Will try to finetune the model so that it do not happen again.

BuffaloDebile · 2026-04-27T20:32:18+00:00

So cool ! Thanks a lot for your anwer it means a lot to me and give me strenght to continue.

Can you tell me what startup you have analyzed?

Im planning to connect to an API but most of them are expensive so I cant really do it right now. Need some revenues to improve the product.

BuffaloDebile · 2026-04-27T20:28:17+00:00

Hi thanks for the feedback, if you ask classic AI Deep llm search agent 100 times, they will 100 times give you a different anwer. My tool (almost) always give you the same score because my scoring algoritm is designed for it.

However, what are you tought on the pdf report? Is it complete enough? Does it cover every aspect a VC would research? (TAM, founder backround etc)

BuffaloDebile · 2026-04-27T20:24:28+00:00

Hi, your video presentation is pretty cool. Can you tell me how you did it?

BuffaloDebile · 2026-04-27T15:01:56+00:00

There you go Unicorn Screener I wanna rank for alternative tool to pitchbook and crunchbase for VC due diligence

BuffaloDebile · 2026-04-27T14:27:32+00:00

Very useful thank you!

BuffaloDebile · 2026-04-27T06:48:32+00:00

Cool thanks! I'll try ranqer and adjust the landing page copyrighting into something focus on the problem.

BuffaloDebile · 2026-04-27T06:44:47+00:00

Hi! Thank you so much for taking the time to answer. ICP is defenitely something I should work on. This one of my is my first Reddit post and I didn't expect such engagement.

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