As founders, calls are part of our daily life. Brainstorming, quick updates, random discussions with the team and there s always value in those moments. But most of the time, all that value just disappears after the call. By connecting Prodshort to your calendar, it automatically joins your calls and turns them into ready-to-post content.
If you're a founder and want to create content, I'm doing short discussion calls. Let's connect !!
Just wanted to share a little "behind the scenes" pain from the OptiClear launch. We all know the Apple App Store review process can be a rollercoaster, and I definitely hit a loop.
I had built this sweet "Invite a Friend" feature. The logic was simple: generate a code, share it with a friend, and both of you earn free premium days. A classic, organic growth loop, right?
Well, Apple hit me with a rejection. Apparently, unlocking premium features outside of their standard In-App Purchase flow (even as a reward) is a big no-no.
We teamed up with @Vercel for a special launch day, which means there s a dedicated leaderboard full of teams shipping on Vercel, all in one place. More launches, more competition, more reasons to spend too long refreshing the page.
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.
I genuinely love listening to podcasts. It's one of the best ways I've found to stay on top of new trends, pick up strategies I wouldn't have discovered otherwise, and come across founders and operators I'd never stumble on through regular reading.
So I'm always on the lookout for new ones worth adding to the rotation.
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.
Right now we have scenarios covering things like giving hard feedback, managing up, and pushing back on scope creep, and more. But I'm building out the next set and I'd rather build what people actually need than guess.
So: what's the conversation you keep putting off?
What's the one you replayed in your head after it went sideways?
Six months ago, we ran an experiment with our own data.
At Rankfender, we tracked 5 of our own competitors across 8 AI systems. We log their share of voice, citation velocity, content gaps, platform variance. Months of raw numbers sitting in a dashboard.
I pulled 6 months of data and fed it into Claude. One question: "Based on this, who is most likely to overtake us in the next 6 months? Show your work. Use the data. Don't summarize. Give me the numbers."
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?
As builders, we love tracking daily metrics: MRR, GitHub commits, daily workouts, Inbox Zero. Standard habit trackers are incredibly optimized for this gamification.
But lately, I've realized my "mental RAM" gets completely eaten up by the irregular tasks. The stuff you only need to do every few weeks or months:
Changing the AC filter
Watering specific houseplants
Following up with that one dormant enterprise lead
A few years ago, getting a VC check was the ultimate shortcut. The fastest way to scale. The signal that you'd "made it." But with AI is a little bit different.
Global VC funding declined 30% in Q1 2024. One of the lowest quarters since 2018. And bootstrapped startups are quietly catching up. Recent data shows bootstrapped businesses are growing as fast as VC-backed startups, while spending only about one-quarter as much on customer acquisition.
With AI bots getting harder to detect, there s been growing discussion around platforms using biometric verification (like face scans) to confirm real users.
Cool in theory... Reddit is full of bots, fake accounts and garbage engagement. But let s be real
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).
