Omorogieva Sylvester Ihonwa

"The line 'you get a workspace, not just a PNG' is the most honest thing any AI design tool has said in years — and it cuts straight to the core frustration that every content marketer has with the current generation of AI visual tools. You generate something beautiful, you need to change one data point six weeks later, and you're starting from scratch because the AI gave you a frozen image,...

"The phrase 'AI can't touch grass'. 'You can' might be the most culturally precise line written in tech in 2026. Because it does something rare — it makes the case for human irreplaceability without being defensive about it. It doesn't say 'AI will never replace us.' It says, 'here's the exact thing AI cannot do yet, and here's how you get paid for it.' What fascinates me most is what this...

"The stat you're sitting on — $300–400 billion in annual R&D spend, with 56% of features rarely used and 24% never used at all — is one of the most staggering numbers in enterprise software, and it barely gets talked about seriously. Most onboarding tools solve for the first 10 minutes. Obi seems to be solving for the entire adoption lifecycle, which is a fundamentally different and more...

'The "one Reddit reply, three signups, felt like an idiot" moment is the most honest founder story on Product Hunt today — and I mean that as genuine praise, not a backhanded compliment. Because that story is doing something most product pages don't: it proves the hypothesis before you've even tried the product. What you're describing isn't just a lead gen tool — it's actually an argument about...

The line 'for people who need analysis but aren't analysts' is the most underrated positioning statement on this page. Because the actual friction in most companies isn't that data is unavailable — it's that the people who understand the business context don't know SQL, and the people who know SQL don't have time. BayesLab is solving a workflow bottleneck that's costing companies days of...

"The 'warehouse-native' framing is one of the clearest positioning moves in the data space in the last few years — it immediately signals who you're for and who you're not for. How are you thinking about the education layer? There's a whole generation of marketing ops people who've never worked directly with a data warehouse and find the concept more intimidating than it needs to be."

"The wallet layer of the internet is so underbuilt it's almost funny — we've had the hardware capability for years and yet most brands still treat Apple Wallet like a loyalty card afterthought. Badge feels like it's trying to fix that at the infrastructure level. Are you finding that brands come to you already understanding the wallet opportunity, or is a lot of your early work still...

"Supply chain is one of those spaces where the gap between 'what the tech can do' and 'what the industry believes is possible' is enormous. GrubMarket seems to be operating in that gap productively. What's surprised you most about how food distributors have responded to AI-driven forecasting — more resistance than expected, or less?"

"Render is doing something quietly radical — making infrastructure boring again in the best possible way. The AWS complexity tax on small teams is real, and most developers don't talk about how much mental overhead it costs them. Do you find that your strongest word-of-mouth comes from individual developers who discovered you, or from engineering leads making deliberate platform decisions?"

"The shift from 'does this AI work?' to 'does this AI work consistently in production?' is the conversation enterprise teams are finally having. Braintrust feels like it arrived right at that inflection point. Curious — are you finding that your biggest champions inside companies are engineers, or are product and compliance teams starting to drive the buying decision?"

It is awesome