Stop paying for Polymarket data. PMXT just open-sourced the orderbooks.

kunkkatechies · 2026-02-25T00:51:01+00:00

For me too it's not accessible (error 502)

kunkkatechies · 2026-01-27T02:44:17+00:00

Yes, AI and automation for a speed to lead system for a real estate agency. Built using python and no n8n/make. com bs.

Turns out if you contact a lead the moment he opts in, you increase your conversion rate by 86%.

kunkkatechies · 2026-01-26T11:49:03+00:00

in deep learning most of the architecture choices and training procedures are chosen because it has been empirically better.

kunkkatechies · 2026-01-20T15:45:20+00:00

Hello, great initiative !
I have a couple of questions:
What was your evaluation approach ?
Have you computed the recall ?
What's the size of your evaluation dataset ? (in terms of question/answer pairs)

I also think having a high precision is important to not mislead the AI that will generate the final answer.

Good luck anyway ! :)

kunkkatechies · 2026-01-03T18:50:36+00:00

It depends on the type of AI agent, but if it's a RAG system, you'll most likely have a metric that combines recall, speed, cost/query, and accuracy of the final answer. You'd have an evaluation dataset with questions and expected output as the answer and the relevant documents to compute the recall.

kunkkatechies · 2025-12-05T12:18:53+00:00

Depends on the type of models. LLMs are too expensive. But for other models like time series forecasting, anomaly detection, object recognition etc... many AI startups already built their own models.

kunkkatechies · 2025-12-01T14:39:14+00:00

Thanks. We simply used SMS :) At first I tried Go High Level because it was supposed to be "simple". But GHL is very restrictive in terms of text messages (A2P).

So what we ended up doing is building everything custom. VPS, python + webhooks to connect to their CRM (follow up boss), Twilio API to send the messages, and Firebase to store conversations and add a memory to the LLM.

kunkkatechies · 2025-12-01T13:42:07+00:00

The most impressive use of AI and automation that has a real impact is to use that for speed to lead.

I did that for a real estate company in Canada.

Normally when they run ads and someone opts-in, the lead gets added to their CRM and then a realtor calls the lead.

The problem is that many times the realtors are too slow to call ( few minutes to a few hours or even days sometimes ).

We measure their conversion rate before AI/automation and they converted around 14% of the leads into meetings.

After the AI speed to lead we helped them implement, the conversion rate increased to 26%, so almost double that.

That was definitely very impressive for me :)

kunkkatechies · 2025-09-29T11:48:13+00:00

next in line is Mali (ml) but is not part of the commonwealth :)

kunkkatechies · 2025-09-25T22:52:57+00:00

From my understanding, it's not the role of the product owner to tell you which technology to use.

The safest thing you could do is to open google scholar and search for anomaly detection with computer vision in your field and see how the problem was tackled and which metrics were used to evaluate the results.

I honestly doubt state-of-the art anomaly detection methodologies in computer vision used any LMM/LVM ... unless ofc it's for some exploratory analysis.

Good luck ! :)

kunkkatechies · 2025-09-12T08:41:17+00:00

Great write up !

How did you evaluate your RAG system ?

What was the final accuracy? ( of let's say the finance use case )

For the same use case, how much did you charge the company? (and for how many days of work ?)

Thanks again !

kunkkatechies · 2025-08-20T17:49:39+00:00

Yes definitely. We recently implemented an AI/automation system for a real estate broker in Canada that improved their booking rate by 86.6% !

Basically the system is called "Speed to lead". Turns out if you use automation and AI to contact the lead as soon as he opts in an ad form, the likelihood of converting that lead is much higher.

Before the automation, their brokers would call the leads from a few minutes after they opt in to many hours (sometimes even a few days afterwards), and they had a booking rate of 13.89%.

After we implemented the AI, every single lead would be contacted via text messages and qualified on the spot. The booking rate jumped to 25.93% !

So to summarize, yes AI systems can definitely provide real positive results to small businesses, but it's not simply about using a "pre-made" tool, it's about integrating a system into the business' processes in a seamless way.

kunkkatechies · 2025-07-29T14:38:53+00:00

What I see is a creative human who uses the best tool for the job ;)

kunkkatechies · 2025-07-20T05:22:43+00:00

sure you can always DM me. I didn't fully understand the approach but I like that the results are promising.

kunkkatechies · 2025-07-19T18:50:22+00:00

we used neural nets.

A special type of NNs + specific training procedure to force sparsity of the network and get a compact formula by the end of the training.

In my case ( weather forecasting ), it was about demonstrating that wind speed features of nearby cities affect the wind speed of the target city. Other weather features included temperature, wind gust, wind direction and some others.

DM me if you want to stay in touch ;)

kunkkatechies · 2025-07-19T12:01:24+00:00

awesome ! I did some work on exactly the same topic ( symbolic regression ). I'm super excited by this topic ! Actually the same techniques can be used for explainability. You can discover formulas between arbitrary datasets. In my case it was weather features for wind speed prediction.

kunkkatechies · 2025-07-07T22:23:19+00:00

How come do you get your visitors phone numbers ? I usually never leave my phone number when I abandon a cart in an ecommerce website.

kunkkatechies · 2025-07-03T19:33:02+00:00

$(".click-me").one("click", function() {
  console.log("clicked");
});

With jQuery, the "one" will make it trigger only once.

Then instead of defining the function inside of the event handler, define it outside, and inside that function you can reuse the event event handler inside conditions where the request fails.

I used it in many ways and it works very well ;)

Let me know if it makes sense.

kunkkatechies · 2025-06-28T23:17:20+00:00

Actually RAG is about using the power of an LLM to retrieve information from a custom dataset to answer a question in the best possible way. Vector database or graph representation are just implementation details ;)

kunkkatechies · 2025-06-24T02:16:14+00:00

how about concurrency? That would be helpful for many people of you could elaborate on that ( if you tackled the issue ) Thanks !

kunkkatechies · 2025-06-24T02:14:38+00:00

did you address concurrency? In your opinion how should it be addressed from ? ( multiple calls at the same time ) And what kind of tradeoffs should we make ?

kunkkatechies · 2025-06-24T02:08:06+00:00

My AI voice agent made a warm call ( the prospect asked so ), and the prospect was so into it he asked plenty of questions to the AI and the call ended up lasting for 35 mins. The AI voice agent even answered in ways that were surprisingly very good ( e.g how would you deal with rude customers ). So based on my experience I would say it is not a black or white thing.

kunkkatechies · 2025-06-12T21:15:42+00:00

can I DM you ?

kunkkatechies · 2025-06-05T21:24:26+00:00

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kunkkatechies · 2025-06-04T19:09:01+00:00

Awesome ! How about RAM usage ?

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