We re trying something new on Thursday: Alpha Day.
The idea is simple. If this is the first time you re launching your product anywhere, you can tag it alpha and get a boost to your points (and land on a special leaderboard).
Lately, I ve been looking closely at how independent builders and small teams are managing AI knowledge bases. It feels like the default "industry standard" is to immediately reach for a complex RAG pipeline and a heavy, paid Vector Database.
But I'm starting to wonder if we are over-engineering this for 90% of standard use cases.
Vector DBs are incredibly powerful for massive scale, but for smaller or non-massive datasets, they can be expensive, complex to query, and act as complete black boxes. If a search returns a weird chunk, diagnosing it is often a nightmare.
We built @ShikkeeOS because buying a home still feels absurd.
You re expected to chase contractors, guess the real budget, pray timelines hold, deal with banks that underwrite chaos, and then keep feeding utility bills forever. Somehow this became normal.
For months, our most requested feature at Murror was a chat function. Users wanted to talk to the AI the way they talk to a friend. It seemed obvious. Every competitor had it. Every feedback form mentioned it.
It featured individuals who managed to build significant profit while running their businesses solo, without employees. Until now, I ve seen these more as exceptions rather than the norm.
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Update: The Deel Leaderboard will no longer be going ahead today for the Paris event.
We re teaming up with The Pitch by @Deel, a global startup competition where up to 100 winners will receive $50k in funding and up to 10 winners will receive $1M+.
Everyone tells you to ship fast. Move fast and break things. Get to market before someone else does.
I believed this for a long time. When we were building Murror, speed was everything. We pushed features weekly, sometimes daily. We celebrated every deploy like a small victory.
Every day, after launching, makers are contacted on LinkedIn and X by people offering to sell votes. As the Product Hunt team, we are very much aware of this and really hate it. We have systems in place to neutralize this type of gaming. Every vote counts for a different number of points on Product Hunt. A couple examples:
An account with a recently created gmail address and no history of quality contributions on Product Hunt: this vote will count for 0 points. Yes, this might be a well intentioned user, but we take a conservative approach to protect the community. If the account has a company email or applies for verification on Product Hunt, that's a different story.
An account with a company email address linked to a legitimate LinkedIn account with a history of meaningful contributions on Product Hunt: this vote carries significant weight.
A couple questions for the community:
Are there specific accounts on Product Hunt that you suspect participate in vote selling? You can reply here or email report@producthunt.co
What would you want to see us do differently here?
I keep hearing and reading about how programmers are at risk; basically, everything that can be replaced by AI is at risk.
Yesterday, Lenny Rachitsky shared a post that PM openings are at the highest levels since 2022.
At the same time, I read how big giants (Meta, Amazon, etc.) are laying off engineers because of AI, and then I read about how they had to hire back again because something managed by AI went wrong.
Most people are using AI wrong and I was one of them.
For the first year, I used AI like a fancy Google. "Write me a product description." "Summarize this." "Give me 10 ideas for X." Useful? Sure. Transformative? Not really.
If you re still sitting on your launch, this is the push.
YC made a special exception for this community: one or more companies that launch tomorrow will get a YC interview and potentially funding. A YC partner will review every eligible launch.
Let me start from the creator s perspective: I personally don t have a product (apart from hiring people for creative work or offering personal consultations).
But as a creator, I constantly share content, insights, and information, value that helps me build trust (for free). Based on that perceived expertise, people eventually decide to work with me (a paid service).