... clean headline. The 5.5x stops being a number and becomes a distribution, and the interesting part is the tail: the run where the tool commits to a wrong path early and you pay for the entire detour. My hunch is that most of the real cost difference between these tools is not median efficiency at all. It is how often each one produces a confidently wrong answer that survives a first review. That is the failure that costs ...

... product mentioned in ChatGPT or Perplexity answers, and the data keeps pointing somewhere that makes me question the whole "GEO/AEO" hype. Ahrefs looked at 75k brands and found branded mentions correlated with AI visibility way more than backlinks 0.664 vs 0.218. It's correlation, not causation, so take it with salt. But the gap is big enough that I can't ignore it. Which makes me wonder if we're overcomplicating this. Maybe AI visibility isn't a new discipline ... ... real 2026 priority or just a shiny distraction. Comment from Voiqu Horatiu(@voiqu): @saied_alimoradi   I just ran a check on a larger brand we monitor to double-check this exact dynamic, and the data backs your hunch

... lists are guesses. For this one we looked at job posts where businesses are already paying people to do a task by hand. When five separate companies each hire a freelancer for the same thing, that is not a hunch, that is a budget written down in public. A few that came out of it: Chain of title automation for messy real estate deals. Four different clients, $135k of combined spend, all paying humans to trace deeds and track down ...

... code : Sees you have both Stripe and Paddle installed. Reads both webhook handlers your Paddle one has no idempotency check (line 16); Stripe dedupes fine. Tells you: "it's your Paddle handler." A fact from your code, not a hunch. And when the code genuinely can't tell them apart, it does the thing most AI tools won't: it asks you instead of confidently marching you down the wrong path. In a year of tools that hallucinate with total ...

... algorithm. It feels a lot like a patience game. For context, I had one video recently reach about 35k views, and that brought in 30 sales. Not millions of views by any means, but it gave me a hunch that it's just a matter of time and trying enough attempts until a video really lands Comment from Jennifer McPherson(@jennifer_mcpherson2): @hana_salazars  I can see that. In the week since I launched I have 4 updates already ...

... guessing again with one fewer attempt spent. The ticket is the only step in this whole process that produces a reason, so let it produce one, then resubmit against a confirmed cause instead of a strong hunch. Worth watching that they do not close the ticket as superseded if a new validation is already in flight when someone picks it up. Comment from Asad M.(@asadmalik901): @bickov   And then the black box turns out to be a spam folder ... ... with web-only distribution (no MS approval needed) while building trust signals - Use a publisher or established partner who already has store access - Build an audience first (social media, PH launch, etc.) so Microsoft sees you as legitimate - Consider alternative

... around refunds, compromised agents, merchant disputes, recurring payments, and proving which agent authorized a transaction. For people building agents, APIs, or paid online services: what payment and authorization model would you actually trust? Comment from James(@jbrio): My personal hunch here would be that an agent should automatically pay below a predefined limit, but also it should never purchase things more than a certain amount of times within a specific time period (let's say, no more than 5 purchases ...

... have actually diverged in outcome in the ledger so far and if it's inferred, what's your cold-start before a single divergence has been observed? Comment from Alexander Bering(@alexanderbering): @aadilghani  The reason "edit vs. tell-it-to-revise vs

... speed increases. It's easy to ship fast. It's harder to ship fast without accumulating invisible debt that surfaces six months later. Curious if the data shows any correlation between AI tool adoption and team size my hunch is the 1-3 person teams are capturing disproportionate upside here. Comment from Michael Zhang(@michael_zhang20): Done! For us, Supabase is low friction and powerful. along with a few other startup friendly tools, it is a game changer ...

... 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 ... ... curious to see which products are succeeding with the hard paywall and whether certain categories benefit more than others. There's a lot of good data in the report, I'm excited to dig in. My hunch

... prototyping, we ve launched the Cardio Speeder a machine that turns a "ride" into a "flight." Why it s different: Orbital Mechanics: Upper body bars turn cardio into a true full-body HIIT session. Ergonomic Breakthrough: Eliminates the "hunched" posture of traditional trainers. Micro-Mobility Future: This is the first step in a new ecosystem of Martoni motion products. We re live on Kickstarter today and would love the support of the PH community! https://www.kickstarter.com/proj... ...

... pretty soul-less overpriced service. Comment from Abdul Rehman(@abod_rehman): I wonder how many of these products would have succeeded differently if the original teams had stayed on? Comment from Jeff Benson(@jeff_benson1): @abod_rehman  My hunch: They may have succeeded in improving the products but not making them more financially lucrative. It's hard to kill your own darlings; easier for someone else ...

... thoughts about my progress or if I'm doing something wrong which potentially leads me to get on my screen. I'll also love to go have lots fun outside which i haven't since i always get this hunch that I'm wasting time and should be doing something valuable. Currently just surrounded by potential workmates and friends who I've been building with. How about you? Comment from Mariana Prazeres(@marianaprazeres): Totally agree, maybe that ...

... that, we weren't even a consumer software company. By January, we were seeing long posts on LinkedIn and X about how the product had changed people s lives. We also saw ~20% of our users convert to paid (vs. the usual 3 4%), and organic growth of ~90% month-over-month in January and February. On average, users were doing around 100 dictations a day and typing only 25 30% of their total input on a keyboard ... ... real product problem is turning a messy spoken stream into something you'd actually paste into Slack. Interesting too that the privacy instinct from the wearable days carried over. Did the pivot change how you weigh latency vs

... those documents. Comment from Edward Michaelson(@emikes919): I saw fathom on a video call, downloaded it, and never looked back. It's great. I don't see a lot of opportunity to meaningfully differentiate in this space, and my hunch is that prices will come down or there will be consolidation. Like yeah, the quality of the notes can be better from one app to another, but the rising tide of AI progress will lift all ships here. Other than ... ... that, all the cool features I've seen introduces can be pretty easily copied by all well-funded competitors

... ecstatic we've finally launched. Senvi is your personal wellbeing tool, combining daily mobility routines with breathing exercises to promote health and productivity. The mobility routines are personalised to your posture at work. Whether you stand, sit or even hunched over like a dentist, Senvi will create a routine that helps your specific aches and pains. There is a 1 week free trial with no card details required so you can try without any commitment or worry ...

... After building sticklight.io for 6 months, we're now talking with product leaders about building hunch.dev . The idea: An AI-powered product analyst that researches hunches, detects KPI changes, and finds root causes automatically. Assuming you can ask Hunch

... many different use cases but none of the use cases are differentiated, I think this must be terrible at everything because there are too many things here for it to be good at everything. I have a hunch that you actually built this to do one thing well, and then added a bunch of features on top. I'm wondering what that one thing is and how you do it better than everything else that's out there ...