... candidates suitability. Comment from Alex Gidirim(@alex_gidirim): Tony's calibration point sharpens Siarhei's argument: you only ever observe outcomes for the people you hired, so the number can't really be validated even in principle. A rank sidesteps that, it only claims this one before that one, which you can actually check. The checklist is still right for what a person reads, just keep the score behind a click so it doesn't anchor the reading before anyone ...

... good way to put it, and honestly the right call for v1. baking the precondition into the scenario spec rather than inferring it means the test is deterministic and you can actually explain to someone why it failed, versus a schema-inferred version where the failure mode itself is one more thing to debug. I'd rather write ten scenario specs by hand than debug why the inference engine thought two events were duplicates when they weren't. good luck ... ... than debug why the inference engine thought two events were duplicates..screenshotting that for when I'm tempted to over-automate v2. thanks man, this whole thread sharpened it. Comment from Raj Nagulapalle(@rnagulapalle): @akbar_b  today we sidestep

... actual insight, and it's bigger than it looks: making the notification say why it's waiting is what turns a ping into a triage. "Done" makes you tab back to find out what "done" means. "Needs approval vs finished vs

... slow path. The fast path is grafting onto a surface the user already touches. The cost of building a standalone AI app dropped 90%+. The cost of getting it noticed did not. Surface integration sidesteps the noticing problem because the surface already has users. The takeaway for builders: the model is increasingly commodity. The surface a call, a thread, a keypad is where differentiation lives. What surface do you wish had AI built in? Imed Radhouani Founder & CTO Rankfender ...

... What stopped you the first time you tried learning AI hands-on? we are still learning and experimenting .... Comment from Rian Robertson(@rianbrob): Love the idea, Jai! The setup hassle is real having a browser based AI lab that sidesteps all those dependency wars is a game changer. I m building The Sponge, an AI powered flashcard app that turns any webpage into study material, and I think it could complement what you re doing ...

... thin? We're curious how others navigated "trust before you have enough signal." Happy to talk through anything, the product, the market, or why we put it on WhatsApp of all places. Comment from Rian Robertson(@rianbrob): Neat approach sidestepping the app store noise with WhatsApp! Love it. For cold starts, I've seen teams bootstrap with hyper-local expert seeding before personalizing. How are you tackling trust early on? If you're up for it, I'm launching ...

... second over time? Comment from Miles Anthony(@miles_anthony2): How does ProdShort decide what part of a call is actually worth turning into content? Comment from Damian Victor(@damian_victor): Does it adapt content differently for platforms like X vs LinkedIn, or is it one format? Comment from Jerry Johnson(@combajt): Love this. Building in public sounds great until you realize content creation becomes a daily burden. Turning real founder conversations into authentic posts is a very smart solution. Comment ... ... what makes this work honestlyt. most build-in-public content rn is either fake (people writing posts from scratch about 'lessons learned' that never happened) or skipped entirely cuz writing it feels gross. pulling it from real conversations sidesteps

... meant hiring at least 2-3 devs, a designer, maybe a marketer. Now it's just me and AI tooling, and I'm shipping faster than some teams I've worked with. But I think the framing of "solo vs company" misses the real shift. It's not about headcount anymore, it's about leverage per person. A solo founder with the right AI stack can absolutely compete with a 10-person team on product. Where it gets harder ... ... with networks or brands already built. What I think actually happens is a bifurcation: more solo micro-businesses at the edges, and tighter 3-5 person teams where it matters. The "one-person unicorn" narrative is fun but it sidesteps

... According to @RevenueCat 's State of Subscription Apps 2026 report, " hard paywalls convert 5x better than freemium, but with significantly wider variance." Day 35 download-to-paid, freemium vs. hard paywall Does access method impact download-to-paid conversion within 35 days? Quoting the report: Median D35 conversion sits at 10.7% for hard paywalls. Freemium is 2.1%. That gap alone should make you pause. But the more revealing part is the distribution. Hard paywall top decile apps approach 40% conversion ... ... upgrade on day 1. The free tier is doing its job building the habit. The paywall is working by staying out of the way. Comment from Chris Messina(@chrismessina): @alexeyglukharev  which space are you in? Who are your competitors

... super excited. Not because of where it is now, but the potential it has for the future of Granola and Raycast. Comment from vivek sharma(@vivek_sharma_25): Auto Models is especially exciting, finally a way to sidestep model paralysis and let the system decide what s best for the task. Curious how granular the switching logic gets under the hood, and whether devs can override when needed. Comment from Chris Messina(@chrismessina): Don't forgot to use this with ...

... have struggled with the zero to one journey in the last couple of years but was wondering if any of you have sidestepped it by acquiring a business and then growing ...