The growth of MVP services The growth of AI tools that help you generate the code What's the point of MVP services when the majority of people (with a very little knowledge about the code) can use AI to create their first MVP? Yeah, you can now argument that some solutions are technologically more difficult and that's the point where the MVP service provider can step in, but anyway...
Working on scoring candidates against job postings with AI, and I keep going back and forth on this: a bare percentage feels untrustworthy no matter how good the model is, but a full paragraph of reasoning is too slow to skim across 50 profiles.
Landed on a point-by-point checklist (what's met, what's missing) as a middle ground, but curious how others handle this. If a tool told you "73% match," would you trust it without seeing why? Where's the line between useful signal and noise for you?
I have been thinking about this while working on integrations with third-party platforms.
Imagine a user connects their CRM, payment provider, or another external service. Everything works initially, but a few weeks later, an API token expires or the provider starts rate-limiting requests.
Relying on memory to summarize product updates always led to rushed incomplete changelogs. Moving that habit directly into the dev process changed everything for us.
Documenting each user acing change while it's fresh makes the notes way more accurate. Plus if a change is hard to explain in one simple sentence it's usually a warning sign that the feature itself is messy.
We price in credits. One credit is ten cents. Looks clean until you put two models side by side.
A 30 second 1080p clip is 90 credits on one video model and 513 on another. Same output spec, 5.7x the price. Credits were supposed to make cost legible and they do the opposite, because nobody carries a mental conversion rate. The number on the button is noise, so people find out what a generation costs after they have spent it.
Everyone has their strengths and weaknesses. Not everyone has a knack for marketing, content creation, community building, or other techniques. When it comes to marketing, what have you found to be the best tools and strategies to market your product when it's not your strength?
When mass layoffs started in tech, many people suggested that:
The layoffs were happening because, during COVID, companies hired too many people for online and remote roles.
That AI was attacking jobs.
And I still keep seeing statements from creators of various AI tools saying: No, AI won t replace you. Employees will just have time for more meaningful tasks in a company.
I'm currently building in Social tech with no plan on integrating AI in the near future. It's an app that'll enable users to connect with others near them and attend/host events.
Are you also building a product that doesn't have an AI component? How has it been? Has the available funding decreased for "unsexy" ideas since the advent of AI?
