... version of the news: Manus announced on August 11, 2026 that it is returning to independent operation as its deal with Meta unwinds. Data created by affected users on or after December 29, 2025 was deleted on August 23 24. The restoration portal opens August 25 at 08:00 SGT. This page has two parts, in deliberate order: first, how to get your Manus data back. Second, if this week convinced you that you want an agent whose results ... ... happened was regulation, not negligence so before anything else, recover what's yours. Per Manus's announcements: IF YOU'RE AN AFFECTED MANUS USER Data created on or after  December 29, 2025  was deleted  August 23 24

... back", and the answer was no there had never been anything to get back. So I've just moved to a short retention window: the output is held long enough to hand to you and then deleted automatically within 24 hours. It fixes the complaint. But it's left me with three things I didn't expect: I'm now storing user content, which is exactly what the original design existed to avoid. The promise got more complicated ... ... same moment it got more useful. "We delete it within 24

... Hey Product Hunt community! We re putting together a private 14-day Founding Cohort for Zenor a personal AI tool ...

... everyone I kept running into the same problem as a solo builder you launch something, get a short burst of attention, and then it disappears. Threads scroll away, launch-day spotlights fade after 24 hours, and most co-founder tools are either narrow (VC-track only) or task-focused rather than story-focused. So I built Startives a permanent showcase for your project. Instead of a 24

... Product Hunt community! We're currently expanding Cash Never Sleeps and building out 24 new AI growth and automation playbooks for our library. Right now, we're mapping out: Web scraping & lead enrichment pipelines Automated cold outreach setups Custom Claude system prompt sheets & Make.com scenarios For the founders and agency owners here: What specific manual growth bottlenecks or repetitive workflows are taking up most of your time right now that you wish were automated? Would love to hear ...

... median points needed to break the top 5 and top 10 on each day. Check the full report here: https://app.databox.com/shared/a... The short version: Saturday is the easiest day. Only 266 median points to crack top 5, vs 360 on Wednesday. That's a 35% harder climb on the worst day vs

... rebuilt our on-brand AI image generator from scratch: brand projects, 4 image models, an inline editor, share + remix. Launch day only: sign up and get 100 bonus credits on top of the free 30. 130 to start, 24 hours only . Would love a follow so you catch it live producthunt.com/products/brandgen What's the one asset you wish AI could generate on-brand, every time ...

... everyone, I'm Raghav, a Flutter developer from India (IIT Roorkee '24) and i'm open to new opportunities. What i've shipped: Fest Connect - event-tech platform i built solo from scratch. Flutter apps, backend, AWS/Azure infra, CI/CD, Grafana monitoring. 5,000+ users across 3 colleges. Ones Need rebuilt a single-supplier water delivery app into a multi-supplier marketplace (think Blinkit/DoorDash style). 500+ daily orders, 3,000+ families. Built 3 Flutter apps: consumer, delivery rider, and supplier onboarding ...

... everyone, I'm Raghav, a Flutter developer from India (IIT Roorkee '24) and i'm open to new opportunities. What i've shipped: Fest Connect - event-tech platform i built solo from scratch. Flutter apps, backend, AWS/Azure infra, CI/CD, Grafana monitoring. 5,000+ users across 3 colleges. Ones Need rebuilt a single-supplier water delivery app into a multi-supplier marketplace (think Blinkit/DoorDash style). 500+ daily orders, 3,000+ families. Built 3 Flutter apps: consumer, delivery rider, and supplier onboarding ...

... from Anna Ludwinowski(@anna_ludwinowski): @hareesh_vemasani  That's a great test to see how the product holds up. This is genuinely useful - feedback scattered across five tools is a real, expensive problem. One thing that stopped me: $24 flat feels underpriced for what it's solving and the value it brings to the User. If this catches just ONE wasted sprint or one churn signal, that's a $50-150+/mo problem, not a $24

... building in the AI video space, here are some realities our users faced before we automated the pipeline: The "Single Point of Failure" (APIs & Safety Filters) Generating a 2-minute story means chaining together 20 to 24 separate scenes. This turns the process into a fragile house of cards. If scene 14 gets blocked by a random copyright filter, or scene 18 triggers a false-positive safety block, or an API just decides to time out... the entire video ... ... style. Users were spending hours writing massive paragraphs of prompts just to keep a jacket the same color. We solved this by having our agent lock the physical constraints in the background before rendering anything. The Cost Wall Creating 24

... entry fee. Comment from Thomas Allan Knapp(@sudo_tallan): wow. this must be a record. 30 seconds and it should be clear! Comment from Tomer Ezri(@tomer_e): I wonder how many were 5 years ago. pre-AI vs post-AI era Comment from Marie Bjerkevall Lundin(@bjerkis): Thanks for sharing! Do you have any advice on HOW to get your narrative, positioning, and ICP straight? Best practice in your POV, I mean ...

... Something I built led to a design decision I want to get feedback on. LineageLens is a free VS Code extension that captures every AI code insertion and scores it for risk on a 0 100 scale. Works with Cursor, Copilot, ClaudeCode, Gemini CLI. Zero config on install just start using your AI tools and your insertions start showing up in the sidebar. The scoring is deterministic rules: +28 for credential-like material, +24 for eval/exec patterns, +22 for subprocess ... ... exceeded its scope. You cannot spot prompt injection in an agentic session. All of those failure modes require the prompt to be visible.The practical consequence: if you run only the extension without the proxy backend, your risk scores are 24

... Last week one of our web pods restarted 11 times in 24 hours, and another restarted 9 times. The app worked, users were happy, and latency was fine. Our application logs had nothing to say about it, just gaps where a process used to be. We spent a couple of days chasing the wrong thing. Then we found a Kubernetes default we d never thought to override, and the crash loop stopped. Here s the debug, in roughly the order ... ... been overlooking. We had several web pods running the same image, with the same env, on similar nodes. Most of them were crash-looping, but one wasn t, and that one pod had 0 restarts over the same 24

... Everything worked. Fast releases. Happy customers. No time for architecture. Months 7 12: Progress slowed. Strange bugs appeared. "Fix it later" became the motto. Months 13 18: Every new feature broke three existing ones. Deployments became stressful. Months 19 24: Hired more engineers. They just maintained the mess. No new features shipped. After 24

... years ago, I could finally afford a property :DD Comment from Mickael Chiron(@hivin): Good point, personal brand helps early traction, but it can also bias feedback and hide product flaws. Maybe the real question is less brand vs product and more how to get honest users early without distortion. Have you seen cases where strong founder visibility actually blocked real feedback? Comment from Jinji Huang(@jinji_huang): I lean toward building some personal credibility, but only after the product ... ... better with building a product first and use good marketing strategies to gain users and obtain feedback to further develop their product. Comment from Bruce Warren(@bruce_warren): This really comes to what you optimize for speed vs

... 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 ... ... accounts (both internal) Audit logs 6 weeks 2 requests 0 accounts Enterprise tier 10 weeks 0 requests 0 signups API rate limits 4 weeks 47 requests Used by 89% of power users The features nobody asked for took 24

... launched Slashit App yesterday on appsumo and completed the first 24 hours since launch. Here s what happened: -> $1,033.56 in sales -> 18 new customers -> Featured in Top 9 deals -> 2 reviews with 5 What we did mostly last 24

... ROSE (on-site optimization) 45% 31% 9 requests Keep, enhance later Social/Community Engine 14% 4% 19 requests Delay, needs more validation RASE (app store tracking) 11% 3% 22 requests Delay, low retention signal Ranklink (backlink discovery) 9% 2% 24 requests Delay, not sticky yet The features people asked for most (RASE, Ranklink, Social Engine) were used by less than 15% of users. The features they barely mentioned (Workflow Engine, RAIVE, RCGE) had adoption rates above 68%. What we learned People ... ... every day? We tracked the top 10% of accounts by engagement. Their most-used feature was the Workflow Engine. Not because they requested it. Because it saved them time. They built automation for content publishing, citation alerts, and competitor

... interactive experience in the process. Kinetic Mingle saves time BEFORE you waste time? Why Video-First? You see the real person immediately Chemistry is easier to gauge than through text Scammers/cat-fishers AVOID video Launching on Product Hunt on March 24, 2026! Currently fine tuning the details. I would love ANY Feedback from the PH community. ASK ME ANYTHING Happy to answer questions about: Building in the online dating industry (valued at USD 2.33 billion in 2023) Video tech challenges ... ... matching technology/algorithms Free dating apps vs

... many found they were invisible. But here's what scared me more: Of those who WERE visible, 43% had incorrect information in AI answers. Not "suboptimal." Not "could be better." Wrong. Outdated pricing. Missing features. Wrong founder bios. Competitors credited for your work. And the average error sticks around for 4 6 months . Today, I'm sharing the full dataset: 1,000+ SaaS products, 75,000+ AI answers, and the hard truth about what's being said about you when ... ... Total citations recorded 316,604 Platforms tracked ChatGPT, Google SGE, Perplexity, Gemini, Claude Time period 12 months Industries 14 SaaS categories This is not a survey. This is actual citation data from real AI answers. The Hard Truth Only 24

... Rankfender , we've identified clear patterns. Certain content types get cited 3x more often than others. Here are the 7 content types that win AI citations with real examples you can steal. First, the data: Content Type Citation Rate (vs. average) Best For Comparison pages 3.2x higher "X vs

... reviews, experiences, and video feedback about products they actually own and use. No fake reviews. No paid opinions. Just honest voices. For Companies: AnalyzeG mines, processes, and packages those reviews into fully-analyzed, ready-to-use intelligence delivered within 24 hours. What Do Companies Receive? Fully Analyzed Data Insights, sentiment breakdowns, and trends ready to act on immediately. Raw Data For teams that want to run their own independent analysis. Authentic Video Reviews Real customer footage that can be used ... ... directly as raw advertisement material. Competitor

... just letting it rip . I m very curious whether others have struggled with free trial versus freemium and whether doing both is a bad idea (I m leaning towards that being a yes by the way). I also wonder if we are giving away too much for free and should be feature gating more. The challenge then shifts from a pricing perspective vs

... Last week we hit our highest number of new paying users in the last 24 weeks. Week-over-Week growth: +5.56% CAC: $0 Still too early to say if our PLG experiments are working. But something is moving. Here s what we changed last week: Tested a new free prompt limit (resets weekly) Made onboarding mandatory after users experienced value Improved the upgrade question so more users actually respond Shipped a new widget: Ask AI why Pretty Prompt is good ...