Today, I read in Techcrunch that India has an ambition to "compete" with the US and China in the startup scene:

India has updated its startup rules to better support deep tech companies in sectors like space, semiconductors, and biotech, which take longer to mature.

With the advent of clawdbots, it's as if we've all lost our inhibitions and "put our lives completely in their hands."

I'm all for delegating work, but not giving them too much personal/sensitive stuff to handle.

What was the reason for any YC rejection you faced in the past? And what would you suggest future founders do differently with their profile/ idea/ application to minimize downside?

As usual, Y Combinator came up with segments that are worth investing:

1. Cursor for Product Managers
2. AI-Native Hedge Funds
3. AI-Native Agencies
4. Stablecoin Financial Services
5. AI for Government
6. Modern Metal Mills
7. AI Guidance for Physical Work 8. Large Spatial Models 9. Infra for Government Fraud Hunters 10. Make LLMs Easy to Train

Hello everyone, I would like you guys to try this app. Use it and let me know your feedback. More updates are on the way

The tax filing season is approaching, and it occurred to me that I haven't come across many AI tools on this platform that would solve this issue.

Maybe for the following reasons (I think):

• diversity/complexity of tax entities and legal forms of business

• international business, accounting cases differ from case to case (taking into account currencies, forms of business, tax laws)

• laws in accounting and finance change very quickly

I am trying to do something a little bonkers - I want to build an app when I am a bit of a technophobe! I am a product designer - so it's not entirely crazy but social media, online forums is all really alien to me. I'm looking to put the feelers out there to understand the demand for the idea - any tips or tricks?
The vague idea - without giving the game away....
People are incredible at tracking workouts, steps, sleep, macros

but somehow still stare at a single mug in the sink like it s a moral dilemma.

I m exploring an idea around why everyday maintenance tasks feel heavier than they are, and how the same psychology that keeps people hooked on fitness tracking might work for real-world chores.

Hey everyone,

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built my product around traditional SaaS pricing (monthly tiers), but I m starting to wonder if that model is getting outdated, especially with more AI-powered and compute-heavy tools entering the market.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:

Over the past few days, I ve been trying to understand what helped the most successful launches stand out.

In general, here s what I noticed they tend to share:

• Their Product Hunt page had at least 500 followers.

• The product was in overall good condition (I mean, already had some level of reputation, really good marketing).

• Many were hunted by well-established, well-known hunters on the platform.

• Every comment received a response.

• The visuals were strong there was almost always a video or demo featured at the beginning of the carousel.

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

However, that s not the main point of this post.

We weren't accepted into Y Combinator with our ProblemHunt. But I know a guy who got accepted this time. And he made 11 attempts. We'll try to do that too.