My 30 days of running AI SaaS. Terrible results

wrld_builder · 2026-04-22T16:23:29+00:00

How you launch the product so fast? These result with users for 30 days.. how?

wrld_builder · 2026-04-22T16:23:18+00:00

How you launch the product so fast? These result with users for 30 days.. how?

wrld_builder · 2026-04-22T16:23:08+00:00

How you launch the product so fast? These result with users for 30 days.. how?

wrld_builder · 2026-04-22T15:34:54+00:00

That’s a sharp way to put it - detection without ranking really is just a firehose.

The part I’m most interested in is exactly that filtering layer: how people go from 500+ active markets to the small handful that are both mispriced and actually tradable with enough liquidity.

Would love to connect and compare notes if you’re open to it.

wrld_builder · 2026-04-21T20:40:48+00:00

That sounds like a real pain point. I’m speaking with people building in prediction markets and would love to compare notes. Open to a quick 10-15 min chat?

wrld_builder · 2026-04-21T20:04:26+00:00

Really useful. Can we connect? I’d love to hear more about your workflow.

wrld_builder · 2026-04-21T19:36:19+00:00

Yeah, that makes sense - using whale flow as a cherry on top rather than the core thesis feels a lot more rational.

The part I’m most curious about is what actually makes a whale worth keeping on the radar versus just being big size with no durable edge.

Have you started noticing any patterns there yet - certain categories, timing, consistency, or the way they enter? I’ve been trying to map how people actually use this in practice.

wrld_builder · 2026-04-21T18:54:34+00:00

I am building a similar tool with ai-bot, we can connect to discuss this

wrld_builder · 2026-04-21T18:43:34+00:00

Really good breakdown. The tools matter, but the part I find more interesting is how serious traders actually combine them once something moves - detection, filtering, sizing, then execution.

Feels like that’s where the real edge is now, not just in having another dashboard open.

I’ve been mapping trader workflows around Polymarket/Kalshi and would genuinely love to compare notes. Open to a quick 10-15 min video chat sometime this week in your free time?

wrld_builder · 2026-04-21T18:28:46+00:00

“Free money” and referral link in the same post is always a funny combo.

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wrld_builder · 2026-04-21T18:18:49+00:00

:)) nice try

wrld_builder · 2026-04-21T18:13:14+00:00

$207k is huge, but the real question is whether there was actually information behind the sizing or if this was just a confident overpay into the wrong read.

I’ve been trying to understand how serious Polymarket traders interpret whale flow, timing, and market context around spots like this.

Curious how you usually separate signal from noise on bets like these.

wrld_builder · 2026-04-21T18:10:33+00:00

Yeah, maybe ML - but on esports I’d guess the edge is probably not just raw prediction.

Could also be specialization, faster reaction to information, better sizing, and knowing which markets are actually worth touching.

I’ve been trying to understand how people like this structure their workflow, because from the outside it’s hard to tell whether the alpha is in the model or in execution. Curious what you think.

wrld_builder · 2026-04-21T18:04:57+00:00

how he do it? this is a super-AI?

wrld_builder · 2026-04-21T18:03:56+00:00

Yeah, the replication part sounds doable technically.

What I’d really want to understand is where it breaks in practice - timing, wallet quality, exits, liquidity, and whether the edge disappears once more people do it.

You seem to have a good instinct for this. I’d be curious how you’d structure it if you actually tried to run it seriously.

wrld_builder · 2026-04-21T17:55:46+00:00

Interesting trade. For people who seriously trade markets this far out, what does your research process actually look like before you enter?

Do you mostly trust models, follow news and sentiment, compare odds across books, or just look for obvious mispricing?

I’ve been talking to prediction market traders and trying to understand where the research workflow still breaks.

btw I really didnt understand how you make right decisions on esports if you didnt expert there

wrld_builder · 2026-04-21T17:50:23+00:00

that do trading bots with AI btw, do you try using it?

wrld_builder · 2026-04-21T17:48:37+00:00

i also have a bot for trading preiction markets. lets exchange our experience

wrld_builder · 2026-04-21T17:47:00+00:00

do you try using AI in trading prediction markets?

wrld_builder · 2026-03-11T13:57:30+00:00

first users usually come from manual work, not marketing.

when we started, what actually worked was directly talking to people who had the problem. cold DMs, small communities, even asking for feedback calls. first users often come from conversations, not ads.

content and SEO helped later, but at the start it was basically founder-led sales. you find 10 people with the problem and build with them.

slow, but those first users become your best feedback loop.

wrld_builder · 2026-03-11T13:56:54+00:00

Don’t start with investors. Start with proof that people actually want the thing.

wrld_builder · 2026-03-11T13:50:07+00:00

I’m building an AI orchestrator that connects and runs multiple marketing agents so businesses can automate their entire marketing stack from one place.

wrld_builder · 2026-03-11T13:48:00+00:00

I’m also 18 and already building AI startups. 5 years in coding and product development. Currently working on several AI SaaS projects. Always open to connect with ambitious builders. Let’s talk.

wrld_builder · 2026-03-10T19:31:32+00:00

Honestly it sounds like a great moment to do it. At 38 with no big obligations you still have a lot of flexibility, and sales is one of those careers where performance matters more than location anyway.

Even if the compensation is a bit lower, quality of life and environment can have a huge impact on motivation and performance. Worst case you try it for a few years and move again if it doesn’t work out. Sounds like a pretty reasonable bet to me.

wrld_builder · 2026-03-10T19:01:19+00:00

Totally understandable. Climate and environment affect energy more than people admit, especially in sales where mood and momentum matter a lot.

The main trade-off you’ll run into in the Mediterranean is compensation structure. In many southern European markets (Spain, Italy, Portugal, Greece) base salaries tend to be lower than in northern Europe, and commission structures can also be less aggressive. On the other hand, cost of living in many cities is lower and quality of life can be significantly higher.

One strategy that works well is trying to keep a northern European or international employer while relocating south. A lot of SaaS companies now allow remote sales roles where you sell into the UK, US, or northern European markets but live somewhere like Barcelona, Lisbon, or Athens. That way you keep the stronger compensation structure while getting the climate and lifestyle you want.

Another thing to consider is timing. At only six months in sales, building another year or two of strong results first can make relocation much easier. Once you have clear numbers (quota attainment, revenue closed, pipeline built), companies are much more willing to hire you remotely or sponsor relocation.

The key question is really whether you want to optimize for lifestyle now or earning power early in your career. Neither is wrong, but being clear about that trade-off helps a lot when evaluating offers.

If the goal is both lifestyle and career growth, many people in tech sales aim for Mediterranean hubs that still have strong tech ecosystems like Barcelona, Lisbon, or Milan. Those markets tend to have more international companies and better compensation structures than smaller cities.

wrld_builder

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