... give honest feedback. If you enjoy reading, writing, or exploring new projects, I'd genuinely appreciate you taking a look. Try Telora: https://telora-ivyy178.netlify.app/ This is an independent student project and is not affiliated with or endorsed by Wattpad or any other storytelling platform. Thank you for checking out something I've worked really hard to create ...

... across 11 frontier models ChatGPT, Claude, Gemini, DeepSeek, the ones you're probably building on. On general advice and real dilemmas pulled from Reddit's r/AmITheAsshole (cases where the crowd agreed the poster was in the wrong), the models endorsed the user about 49% more often than a human would. On prompts describing outright harmful or illegal behavior, they still sided with the user 47% of the time. And they rarely did it by saying "you're right" they wrapped ...

... them do X and it was excellent.' that fact existed, someone said it out loud in a hallway, then disappeared the moment the person left the org. resumes cant carry it. self authored, low trust by design. linkedin endorsements cant carry it. everyone has them, nobody removes them, nobody believes them. references cant carry it at scale. the candidate curates who gets called and the reference giver knows they were curated. the missing primitive is a portable signature: 'named person ...

... here's what we do, here's where we're unreliable, here's the thing we put in front of you before it goes out. That's a harder page to write and a much harder one for a competitor to copy, because it means you actually went and found your failure modes. Curious whether anyone has tried this and what it did to conversion. My guess is it costs you signups and buys you retention. Comment from Alper Tayfur ... ... recorded interview. The failure isn't a crash, it's a lukewarm interview written up as a triumph, because that's the direction the model naturally pulls. So there's a gate: it judges whether there's a real endorsement

... what the actual job entails. Developers have noticed. Only 12% of developers use LinkedIn as their main source of technical information, according to a Stack Overflow survey. Most are on the platform purely because they feel they have no alternative, not because they find it genuinely useful. The Fake Everything Problem LinkedIn has a trust problem that is getting dramatically worse, not better. In the second half of 2024, LinkedIn identified and removed 80.6 million fake accounts at the point ... ... title. Anyone can list any company as their employer. Anyone can list themselves as a React expert, a cloud architect, a machine learning engineer, regardless of whether they have ever written a single line of relevant code. Endorsements

... that one or is it out of scope for now? Comment from Omri Ben-Shoham(@omri_ben_shoham1): @Nikita Zarubin that's a genuinely thoughtful line to draw, no verified badge so passing auth never reads as an endorsement. one middle ground worth asking about though: would you ever auto-trigger the AI check (not show a verdict, just run it silently) on a narrow keyword trigger like "wire", "payment details changed", "gift cards", instead of leaving it fully user ... ... nothing visually in Skim no green checkmark, no trust indicator. That was a conscious call precisely because of the compromised-account case: we didn't want Skim vouching for a message just because DMARC passed. Absence of warnings endorsement

... mostly goes quiet, showing a number about 1 time in 10. I'd rather show nothing than something wrong. To be clear GlowPulse gives wellness estimates, not medical measurements. Polar H10 is named only as a neutral reference, no endorsement implied. I published the full method, the per-session numbers, the analysis script, and the raw data so anyone can check it: glowpulse.cc/science Happy to get into the rPPG pipeline or how I ran the comparison. Comment from Hossein ...

... want to start locally, so many beautiful places up in the north :) Comment from Mustafa Arian(@thenameisarian): work goals: - rewrite the tam network hero. real visitor reread it 3 times last week and asked if it was linkedin endorsements on the blockchain. copy is broken. - ship aug 12 ph launch with a signed-endorsements

... little manufactured, or onboarding flows that nudged harder than they needed to. The slope is real and I'm not standing as cleanly above it as I'd ideally like to be. And there's a genuine cost. Competitors who'll do the stuff we won't sometimes just grow faster, and "I have my principles" isn't much comfort when they're winning. So I'm curious where everyone else draws that line. What's something you know will ... ... your admin panel. I'd rather lose the conversion than have someone feel played the second they figure it out. People who buy under a fake clock churn angry anyway. (I work on DukieX, and we list where competitors

... would hold their attention for twenty minutes instead of forty seconds. That is the entire premise. Not where you've worked. What you've built. The Real Answer Is Not Either/Or In 2026, the strongest combination is not resume versus profile. It is resume plus profile. One gets you noticed in the first seven seconds of a scan. The other gets you remembered for the twenty minutes after that, and it is the twenty minutes that actually decide whether ... ... worded bullet points. Polish used to signal effort. Now it signals access to ChatGPT. Do you think the resume survives this at all, or does it quietly become a formality? Comment from Nolan Vu(@nolan_vu): The "20 minutes vs

... That's a sharp observation. Reddit's dominance makes sense. It's the closest thing to unfiltered aggregate opinion on the web. LinkedIn at #2 is the more interesting signal. LLMs are treating self-reported job titles and endorsements as ground truth and you're right to question how long that lasts. Why LLMs Are Citing LinkedIn The data shows LinkedIn is the #1 cited domain for professional queries across six major AI platforms. 75% of those citations come from ... ... citations. Comment from Mustafa Arian(@thenameisarian): reddit at #1 makes sense because it's the closest thing to unfiltered aggregate opinion on the web. linkedin at #2 is the interesting one. LLMs are treating self-reported job titles and endorsements

... four rows. the work, one sentence in plain language. the artifact, the photo or the link. the peer signature, one verified colleague. the customer signature, the actual buyer or user. the cost-of-credential argument matters here. a linkedin endorsement costs the signer nothing. so it signals nothing. a tam signature costs the signer their public reputation if the work was a lie. so it signals everything. cheap credentials are worthless credentials. this is what we shipped at tam network ...

... what actually sets you apart? As for what I m building: I m creating VertoX , the world s first real-time speech translation system that preserves the speaker's original voice, tone, and emotions. We have no direct competitors in what we are doing. Our ICP is literally the entire world. It doesn't matter if you're an enterprise company, a student, a traveler, or a government agency; VertoX is here to completely eliminate the language barrier globally. Comment ... ... something people have practice writing. we're prototyping prompts that lower the barrier without turning it into a form. Comment from Mustafa Arian(@thenameisarian): What you're building TAM Network. the alternative

... credential to accept that the credential itself is the bottleneck. nobody disagrees that hiring is broken. everybody is loyal to the broken artifact because it is the only one they know how to make. the workaround: ship the alternative artifact first, let it teach itself by being undeniable to the recipient. one customer says 'this is the most useful thing i've seen' and they become the unlock for ten more. solo founder, aug 12 launch. thetamnetwork.com what's your ... ... ship and launch a product, the over-saturation is causing it to be difficult to acquire that first customer. Comment from Mustafa Arian(@thenameisarian): the hardest part for me was watching every single early signal get gamed. the linkedin endorsement

... real conversation beats a pile of silent upvotes. 4. Show up and reply to everyone, fast, like a human. The thing I underestimated until recently: how much the boring prep (assets, audience, a tight story) decides the day vs the launch-day scramble. Comment from Shir Ibgui(@shirr): Would love an official list! I found a few online and used the ones that seemed most common while preparing for our launch today, but I'd love ... ... that today. Thanks for the reminder this is exactly the kind of practical advice I needed to hear on day one! Comment from Jason Shannon(@withmarlowe): I am new to Product Hunt. Is a hunter just a person who endorses

... your instrumentation. Track how your content gets cited inside AI answers. Use that data to inform what you write, how you structure it, and where you publish. Skip the shortcut tactics. Neither Google nor anyone serious endorses them. Two flavors of GEO are competing for budget right now The first flavor sells shortcuts. Chunking. llms.txt. Paid mentions. They are selling fear. The second flavor tracks citations. It helps you measure what is already working and gives you data to make ...

... person, it might be literally $0; for another, it might be $3k/mo till break-even. Break-even on another hand depends on the nature of business + market (whether you need to scale adoption vs start charging right away) So it depends on geo + situation + (most importantly) the nature of the startup. Comment from Spencer Miller(@spencer_miller_dev): I've spent roughly $500 on my startup thus far, and most of that comes from spend on company formation and various ... ... extra. Comment from Donnie(@dstr88): @busmark_w_nika  True, the starting point or business model may look different based on what you have. Are you familiar with Col. Sanders story -founder of KFC. -BTW, this is not an endorsement

... members have joined. Esther Dyson, who used to chair ICANN, and Illia Polosukhin, who co-wrote "Attention Is All You Need," are advising.  It's not done. ICANN scores community applications on size, governance, nexus, and endorsement depth. You need 12/16 points to beat the corporate applicants who are absolutely going to file. Every signal matters. Two questions I'd genuinely like pushback on: 1. Is the naming layer for AI agents something the community should ... ... think it should stay open  - what governance rules would you want locked in from day one? What would make you still trust the TLD in 5 years? If this resonates, the non-binding endorsement

... Vibe Score overhaul We completely rebuilt how developer scores work. Every verified GitHub user now starts with a baseline score of 10. Project endorsements actually count now (+5 per endorsement

... Innovator Founder Visa one of the most complex and document-heavy visa routes for entrepreneurs wanting to launch a business in the UK. The platform has 109 tools covering: - Business plan generation (fully compliant with Home Office criteria) - Endorsement interview preparation - Compliance scoring and gap analysis - Financial modeling and projections - Innovation assessment It's built with four specialised AI agents (Nova, Sterling, Atlas, Sage) and uses multi-model verification to ensure accuracy because this is visa territory where hallucinations ...

... separate lines of noise. Streak milestones Builders on 30+ day coding streaks get highlighted in the feed. Makes consistency visible and motivating. Trending sidebar Shows the top contributor of the week plus live community stats (active streaks, projects shipped, endorsements). Fast 5 database queries run in parallel. 60-second server cache with stale-while-revalidate so the feed loads instantly. The idea is simple: when you see someone on a 45-day streak shipping their third project this month ...

... just exposure, but the degree to which AI treats your brand as a credible source . Share of Voice (SOV): Represents your brand s voice share within AI narratives the probability that AI mentions your brand rather than a competitor when answering a topic-related question. Sentiment: Captures the emotional tone of AI mentions positive, neutral, or negative showing how AI portrays your brand. Together, these four metrics answer the two most fundamental GEO questions: How frequently does AI mention ... ... brand? and In what tone and context is the brand represented? 1.2 Trends and Competitor

... with a 90-day shipping streak and 15 verified projects tells you way more than a PDF resume ever could. We're actively building out smarter matching using these signals contribution frequency, tech stack depth, project verification, and peer endorsements. If you're on the recruiting side, would love to hear what signals matter most to you. DMs open on twitter if you wanna chat :) Comment from cecilia(@ceciliatran): Love the build-in-public energy here!! The AI-friendly discoverability ...

... crucial to running a successful launch. Rally support from trusted community members who genuinely believe in your product.  We found @rohanrecommends (Rohan Chaubey), one of the top 10 community members of all time on Product Hunt. And his endorsement made a meaningful difference. Even while hunting competing products the same day (including launches as big as Google), he went out of his way to endorse

... founder, you ve probably run into ghost profiles, scammers, or founders with no real shipping history. That s exactly what we re fixing with Cofounder Hunt . How we do it: We authenticate founders through proof-of-work , peer endorsements , and social verification . On your profile, you can showcase the products you ve shipped, display your all-time revenue, and build a transparent track record. Co-founders who have worked together can endorse