I've built my product around traditional SaaS pricing (monthly tiers), but I m starting to wonder if that model is getting outdated, especially with more AI-powered and compute-heavy tools entering the market. That shift requires real architectural changes, instrumentation, metering, billing logic, and UI changes, not just pricing tweaks. It s something I m starting to seriously think about for my own product.
In particular, AI usage has real COGs (every prompt costs money), and I m seeing more platforms experimenting with usage-based models, or hybrids like SaaS base + usage + overage.
For those of you building AI or compute-intensive tools:
New AI models pop up every week. Some developer tools like @Cursor, @Zed, and @Kilo Code let you choose between different models, while more opinionated products like @Amp and @Tonkotsu default to 1 model.
Curious what the community recommends for coding tasks? Any preferences?
This is something I ll find out in just a short while, one week from now (Jan 28), as I m about to re-launch a digital detox app. If you want, follow, maybe you will be on watch of my steps and activities
I came across Deutsche Bank s latest report on AI, and it sparked an interesting thought experiment: how likely is it that we ll see AGI (AI that thinks and learns like a human) within the next five years?
The report highlights a fascinating divergence: the view from money vs. the view from science.
Money: the probability inferred from trillions poured into data centers, Nvidia chips, and servers. Investors seem to be betting that AGI is inevitable.
Science: the probability inferred from research papers and AI development models. Experts are far more cautious, suggesting the realistic probability is only 20%.
I'm building something to solve a problem my family faces every single day, and I'd love your feedback.
The problem:
Every household has someone carrying the invisible mental load of meals. It's not the cooking that's exhausting it's the deciding. 21 meals a week. Remembering who eats what. Knowing what's in the fridge. Figuring out quick meals for busy nights.
Yesterday, I had an unpleasant experience. For a few minutes, I lost my LinkedIn community of several thousand people (TL;DR: I was falsely accused of using suspicious software).
Fortunately, I got my account back but it was a strong reminder that we don t own platforms, nor our profiles on them.
There are countless products and services out there, and I ll admit I sign up for more than I probably should. But I usually stop using them for a few common reasons:
It doesn t actually fit my needs
The company feels unreliable or opaque
The value doesn t justify the cost
After spending my career in enterprise software, I ve noticed that many of these issues aren t just product problems, they re relationship problems.
When companies show a bit of intention, clarity, and care, trust goes up. When they don t, everything feels disposable, even good tools.
As Techcrunch mentioned... OpenAI will start testing targeted ads in ChatGPT for free, and $8/month Go users in the U.S., while higher-tier subscriptions remain ad-free.
Ads will appear at the bottom of conversations, can be dismissed, and won t influence ChatGPT s answers or involve selling user data. The move aims to generate revenue while keeping free access, and may also encourage some users to upgrade to paid tiers.
We often see launch posts, milestones, and success stories. What we don t see as much are honest breakdowns of products that quietly stalled or failed.
I feel there s a lot of learning hidden there about timing, assumptions, and trade-offs.
Today, I read in the news that OpenAI is considering "expanding its data footprint" and possibly buying Pinterest, as there is a lot of data on it just for the sake of users finding inspiration (which can be key for purchase decision making and understanding personas Pinterest has 600M+ users).
I also take into account how Pinterest started to resent the proliferation of AI content there users do not like it so much (as far as I know, OpenAI also wants to have its own social network, and Sora curation is a bit reminiscent of that)
Yesterday, I came across a job posting from a specific SF company that offered Yesterday I came across a job posting from a specific SF company that offered a salary of 250k 1M (including equity), but realistically, I don't think they have that money; they're just grinding to satisfy investors and succumb to too much hustle culture.
Requirement: be available on-site from 9 AM to 9 PM 6 days a week in the office (and I bet even Sunday would be dedicated to meeting some team members in "free time"). In addition, they were willing to hire those who would relocate to SF.
I have a list of 50 people that I would kill to have a coffee with. Niche founders, retired experts, brilliant writers.
But the reality is: They won't read my cold email. And honestly, they shouldn't have to. They are busy.
The 10% Problem I realized that for all the crawling Google and OpenAI do, they have only captured maybe 10% of human intelligence. The other 90% the "Dark Matter" of wisdom is still locked inside people's heads, private journals, or offline experiences. It is "gatekept" by time and physics.
Since I haven't been able to meet my work goals very well in the last few quarters, I now plan to approach them more systematically and not push myself too hard on work goals, as that ultimately led to problems that made my plan less sustainable.
AI dev tools are moving stupid fast. Every few weeks, there s a new must-use. Some stick. Most don t.
Some vibe coders are developing full products with @ChatGPT by OpenAI+ @Replit. Others swear by @Cursor + @Claude by Anthropic . A few are mixing @Lovable , @v0 by Vercel , and @bolt.new . New and shipping way faster than expected.
I ve been refining my own vibe stack lately. Building with @Google Antigravity at the core. It keeps the flow clean when things get messy.
