... help fix? What becomes more difficult by building it? Saying no has become easier. Ironically, that hasn t made us any less customer-oriented. But it has made our decision-making process much more thoughtful. When do you say

... user asked me to add a feature last month. Not a huge one. Maybe a week of work. And my immediate instinct was to sayyes, because that's what I always do.

... Early on I learned something that saved me multiple times. When a senior person or CEO told me to build something I had doubts about, I stopped just sayingyes and building. Instead I would lay out the possibilities first. What could happen if this works. What could happen if it doesn't. Technical risks. Likely outcomes. My honest read on it. Then I'd send it up and let them decide with full information. If they still said ... ... ahead, the decision was theirs on record. Not mine. This matters because in startups, when something fails, people forget who made the call. They remember who built it. If you just

... user asked me to build a feature last month. Not huge. Maybe a week of work. My instinct was to sayyes like I always do. But I looked at my roadmap, looked at what I was already behind on, and just said no. I explained why it didn't fit right now. I braced for them to leave. They replied "totally understand, thanks for being honest." Then they renewed the next week. I've spent two years

... leave it out. But as things grew every request started feeling important. Some were from customers some from people on the team and some just seemed like opportunities I didn t want to miss. How do you know when sayingyes is helping the business grow

... From September 2026 you can't submit an update without saying whether your app has social media capabilities. Say

... Apple's own support pages. Apple In-App Purchase: 26%, or 15% if you're in the Small Business Program, the Mini Apps or Video Partner Programs, or on an auto-renewable subscription after the subscriber's first year. Alternative payment processing inside your app: 20%, or 10% for those same groups. Out-of-app offers with an actionable link: a 15% store services commission, or 10% for those groups, on anything bought within 7 days of the tap. Apps ... ... yourself with the 59.88 ask. So the honest comparison isn't 1.85 gained per subscriber, it's 1.85 gained per subscriber times however many you keep, minus the ones who'd have said yes

... that idea, more than the platform itself. I've been dealing with a version of this same problem: figuring out where the line is between actions an agent should just do versus actions that need a human to say

... apps it's 30.7%. Monthly retention is 6.1% against 9.5%. Refund rates run about 20% higher, 4.2% against 3.5% at the median, with a much uglier upper bound 15.6% against 12.5%. So the AI label makes people sayyes faster, pay more, and leave sooner. Now notice the timing, because that's the part that actually costs you money. Trial conversion is visible in a week. Refund rate takes a month. Annual retention takes twelve months, which for most indie ...

... most audit trails answer 'did this action happen.' the ones that hold up under legal scrutiny answer something harder: 'would the reviewer who signed it still sayyes if you asked them today.' ive been calling this consent-of-record. not just reviewer id, but reviewer knew X at time of sign-off and stands behind it now. it sits above the usual forensic level (timestamp, user, action, immutable hash chain). that layer proves it happened. it doesnt prove ... ... should have an unique identifier, a human owner, timestamp and within Prefactor, we define an agent contract. Eg, what the agent is able to do, what the risk profile and quality profile of that agent is. Ultimately our contract

... feel heard by an AI instead of helping them hear themselves. The hardest product decisions aren't about what to build. They're about what to refuse to build, even when users are asking for it and the metrics sayyes. Anyone else held the line on a feature like this? Curious how you explain the "no" to users who genuinely want it. Comment from Asad M.(@asadmalik901): The move that helped me most here was to stop reading ... ... about how we respond. We've actually started experimenting with exactly what you described: a gentle prompt on harder days that lowers the barrier without switching the mode. And your point about framing is spot on. We've been

... been "temporary" for about 4 months now. It works, it's covered by tests, and it's ugly enough that every time an agent touches that file it asks if I want it cleaned up. Every time I sayyes, I regret it a little. Not because the refactor is bad, usually it's genuinely cleaner, but because now I've burned review time on code that wasn't broken, and there's a small chance the agent introduces ...

... Every store asks the same thing: "Got our rewards card?" Sayyes, and I'm digging for an app or handing over my phone number.

... Everyone here will probably feel identified with this: You just finished building the first version of the product. And got a dozen or so people who are kind enough to sayyes to try it out. To try it out because probably they like you, they like the idea of your product, or they simply are too polite to

... Flutter. My whole agency runs on it, one codebase for both stores. Claude Code. Went from toy to teammate for me in about a month, it now runs my SEO audits end to end. Figma. Clients sayyes to a picture much faster than to a paragraph. Google Search Console. Humbling but honest, it tells you what Google actually thinks of your site instead of what you hope it thinks. A plain notes app. Every idea, invoice and half-written ... ... like telegram more than the whatsapp for chatting :)

... exact question plus a tiny diff" line, when you come back, do you trust the snippet enough to answer from it, or do you still open the full thing before you sayyes? I'm trying to figure out how much people will actually decide from the payload

... just launches you straight into them. What actually works Before you build, validate the problem. Not the solution. The problem. Talk to buyers, not just users. The people who control the budget. Ask them what they need to sayyes. Before you launch, align the team across engineering, marketing, sales, and support. NPI fails in silos. Engineering builds something production cannot make economically. Marketing promises a ship date logistics cannot hit . Before you go to market, make sure your product ... ... built next week. Comment from Imed Radhouani(@imed_radhouani): @zhanna_ritchie  That is the part you cannot accelerate. Living with the problem. You can read about it. You can interview people about it. You can study

... thought we knew We assumed enterprise customers wanted the same things as our small business users, just more of it. More security. More control. More features. We never talked to them. We read blog posts. We looked at competitor pricing pages. We guessed. Here's what we missed: Procurement cycles. Enterprise deals take 6-12 months. We had 30-day sales cycles. We weren't built for that. Security reviews. We needed SOC2. We didn't have it. Customers asked ... ... didn't. The whole motion was wrong. We were trying to skip the step where we prove ourselves to actual users first. You can't skip that step. Now we're focused on SMB. The people who can say

... where it was going. It felt like I was following a script someone else wrote. So I taught myself to code. Built project after project on my own. Spent an entire summer sending out CVs. Eventually, somehow, IBM said yes. Four years there. Two big projects. The first was managing infrastructure and migrating applications to Azure OpenShift for a Finnish city government. The second was building a procurement chatbot with a bunch of complex data integrations. Real systems, real users ... ... burned out. Simple as that. But I had this rule I made for myself early on. Every year, do one thing that really scares you. Move somewhere new. Take on something you're not ready for. Say

... Hunter, Sheraz here (CTO/Co-founder). I m exploring a shift from support chatbots to a sales agent that actually helps shoppers decide and places items in the cart when they sayyes. What we re testing that s different: Decisioning, not deflection: compare two products in-chat with real specs/stock. Zero training ingest: it learns catalog, price, and inventory automatically. Timed nudges: smart bundles/discounts only at the moment of intent. One outcome: add to cart right inside chat + clear funnel/AOV analytics ... ... talshyn): Add-to-cart feels fine, but checkout should stay human-approved. A quick "undo" or mini receipt in chat would build trust, as it keeps things helpful rather than pushy. Curious though, how are you thinking about nudges

... feeling to connect, but sometimes it leads to complicated situations that are uncomfortable to deal with. So I decided to write down some lessons and real-life examples I ve come across. Here s what NOT to do! 1. Sayingyes to every opportunity Whether it s a quick call on LinkedIn or being asked to help promote on the Product Hunt sure, the adrenaline can be exciting, but not everything deserves your time and attention. 2. Giving blind reviews ... ... think about it ? Are you on all social platforms and how you see every platforms? Comment from Priyanka Gosai(@priyanka_gosai1): Such a thoughtful post, Nika, especially the part about how being visible often comes with quiet pressure to

... Community-driven product development is a huge advantage hearing directly from your users fuels better ideas and stronger loyalty. But it also comes with a classic challenge: feature bloat. How do you decide which user requests to sayyes to, and which to decline without alienating your audience? How do you keep your product vision focused and sharp when the feedback pulls in so many directions? I d love to hear your strategies for balancing user-driven growth with staying ... ... Thsi is probably the best answer!! Focus on what moves the needle for your top metric, which is usually revenue Comment from Parth Ahir(@parth_ahir): @partick_support  Great points! I love how you distinguish between what users

... copy, design, offer, value proposition, etc. Based on those early insights, I iterate quickly and it could be small tweaks or full rewrites, depending on what people are saying. To make it easy for them to say

... abadesi and I were wondering if the direction Apple is headed in right now would be something Steve would ve liked and it s been hard to come up with reasons to sayyes. What do you think ...