... developers who look after client sites. It monitors uptime, SSL certificates and homepage health, but the main thing I m trying to solve is alert noise. A lot of monitors technically work, but after enough false alerts, repeated recovery emails and vague SEO issue warnings, you start ignoring them. Monitrova uses things like confirmation checks, flap detection, daily digests, quiet hours and recovery

... most interesting part of automation isn't the execution it's the recovery . I built @SignalForge to be a sovereign execution layer. Instead of a "black box" cloud API, it uses a local observation loop. If you pull the internet plug, it keeps working. If the UI changes, it doesn't crash; it "looks" again, builds a new evidence model, and finds a workaround. It s like giving your browser a pair of eyes and a local brain that actually ... ... learns from its mistakes. No data tax, no cloud leaks. Just pure, deterministic execution on your own hardware. "I m looking for the most hostile, 'un-automatable' web interfaces to test our recovery

... either trust it or you don't, but you have no way to verify it either way. And if you're building a health product, this gets worse. Your users come with 6 different devices. Whoop gives a recovery score, Garmin gives a Body Battery, Oura gives a Readiness Score. Three different algorithms, three different scales, no way to compare them. You either pick one device and exclude everyone else, or you build your own normalization layer from scratch ... ... that actually reasons about the data: it detects trends, flags anomalies, connects patterns across scores, and produces recommendations a coach would give. Not "your HRV was 45" but "strain exceeded capacity 3 of last 5 days, reduce intensity, estimated recovery

... agents and forgetting manual Git commits during rapid iterations. Git is great for milestones, but it fails as a real-time safety net. So, I built LocalHub . It s a 100% local, background version control system that runs inside VS Code. Here are the core facts about the architecture: 7 Smart Triggers: It automatically snapshots files on save, tab switch, editing pause, focus loss, and external changes. No git add or git commit needed. Agent Diary (AI Protection): It logs ... ... agent actions separately. Crucially, AI cannot empty the trash or delete your history. If an agent hallucinates, you can instantly roll back. Ultimate Recovery

... When your fitness app shows "Recovery Score: 72", do you know how it got that number? With Whoop, Oura, Fitbit you don't. Black box. Can't audit it, can't tune it, can't verify it works for your users. And it matters more than you'd think: An algorithm tuned for 25-year-old athletes gives bad scores to 65-year-old cardiac rehab patients Sleep scores built for monophasic sleepers break for shift workers HRV baselines vary ... ... decisions from those numbers, auditability and context should be standard, not optional. Comment from Kamil Maksymowicz(@kamil_maksymowicz): @assi_mahmood  Completely agree, and this is the argument that resonates most with clinical teams. A score that influences a recovery

... True! The pro athlete baseline problem is real. Default HRV thresholds tuned for endurance athletes will flag a healthy sedentary person as "poorly recovered" every single day. Forking the algorithm means you can set population-specific thresholds: what good recovery looks like for a 55-year-old office worker is a different number than for a triathlete. Comment from Matia Ristic(@naprich): @kamil_maksymowicz  .We ve spent years letting marketing departments define what 'healthy' looks like through locked algorithms ... ... their 'ideal' user profile, the data is useless. Being able to actually see (or fork) the algorithm is huge because then the score might actually adapt to a regular person s life, not just some pro athlete s recovery

... good reminder that work is not only about output, performance, and productivity. It is also about energy. Pressure. Trust. Recovery. And whether people feel safe enough to speak up before things break. That is the idea behind Pulseboard. We are building Pulseboard for teams that want to understand how people are really doing, without turning wellbeing into another heavy survey or management dashboard. A lightweight check-in can reveal early signals: stress building up, workload becoming too high, motivation dropping ... ... measuring is not enough. The real value starts after the signal. Pulseboard is designed to help teams move from daily signals to meaningful follow-up: better conversations, earlier support, clearer team awareness, and a more structured approach when recovery

... server. Any LLM plugs in and gets actual reasoning tools: trend detection, anomaly flagging, cross-score patterns, personal baseline comparison. Instead of "your HRV was 45" you get "strain exceeded capacity 3 of last 5 days, recovery down 23%, sleep consistency dropped since Wednesday, reduce intensity, estimated recovery

... have full control over your entries, without losing what matters. What's new: Edit your entries anytime Move entries to trash instead of deleting them permanently Restore deleted entries within a recovery window Better control and safety for your writing New hint to discover long-press options For Pro users: Extended recovery

... long internal conversations about what gets stored, what stays ephemeral, and how to be transparent about it. Your approach of never touching the data server-side forces a different (and more disciplined) design. Curious how you handle streak recovery if someone loses local access? Any encryption key backup mechanism? Comment from Gaurav Singh(@gaurav_singh91): The "your data never leaves your device" angle is genuinely differentiated, Mark. Most habit trackers treat privacy as a footnote in the settings page rather ... ... Comment from Violet Amelia(@violet_amelia): Are there tradeoffs users should be aware of upfront? Comment from Mark Thayer(@f0rest8): @violet_amelia  Yes. I would say they are: If you lose your password and don't have a recovery

... made Claude the core of the product itself. A few things I'm working on beyond FlashHQ: TraderVault.io trading journal and analytics with a 7-model ML ensemble TaxVault.io quarterly tax prep built for freelancers and solopreneurs Ride for Recovery a nonprofit motorcycle charity I founded supporting people in recovery

... want to understand focus, energy, and resilience properly, context matters. Personalisation cannot stop at a single static baseline. It needs to reflect the realities of each user s life, including sleep disruption, parenting, pregnancy, postpartum recovery, and cycle-related changes over time. This is an area we want to keep improving. 4. Coaching works best when it is personalised to state, not just prompts Another theme was the difference between Pinnacle and a standard LLM. People have already tried using ... ... questions. They are central. We want Pinnacle to feel like a calm, intelligent coach, not another noisy app demanding attention. That means being thoughtful about privacy, clear about how sensing works, and careful about when the product should guide versus

... done The Invisible Damage What we've measured: Impact Average effect Branded search decline after negative AI answer -18% over 90 days Sales cycle extension (due to incorrect info) +23% longer Support tickets related to AI misinformation +37% Trust recovery time after correction 4-6 months One founder told me: "We lost a 200k deal because ChatGPT said our API didn't support a feature we'd had for two years. The client read it during due diligence. We couldn ... ... blog post about their security journey Added FAQ schema to compliance pages Monitored daily for changes The result: After 6 weeks, ChatGPT answers shifted. Within 12 weeks, 90% of responses correctly cited their SOC2 status. Time to full recovery

... problem that every SaaS founder hates but often ignores: Passive Churn (Failed Payments). Most tools out there just send the same boring "Update your card" emails. I m building something different. CrunchSave uses AI Policies to personalize the recovery flow based on customer LTV and the specific reason the payment failed. The Beta is opening very soon! I m looking for 10 early-stage founders who are using Stripe and want to help me shape the MVP. Why join ... ... only get paid if we recover your money) or a $79 flat monthly fee? If you want to be one of the first 10 testers, drop a comment below or let me know your thoughts on AI-driven recovery

... exhaustion of performing recovery. The Weekend by Michael Gray: A disco-house hit that's specifically about "living for the weekend." Sunday evening. Her colleague messaged her: "Hope you had a relaxing weekend!" She replied instantly: "It was great, totally recharged!" The reality was she had spent the entire weekend staring at the ceiling, dreading Monday, and feeling profound guilt that she hadn't utilized the time for "self-improvement." The exhaustion from failing to recharge was heavier than ... ... exhaustion from the previous workweek. She realized that the pressure to perform recovery

... building Unideploy , a DevOps automation platform that integrates directly with Claude / ChatGPT via MCP no separate UI, no new dashboards. The idea we re exploring now is AI-assisted incident recovery : Instead of jumping between CloudWatch, kubectl, CI/CD logs, and Slack during an incident, you ask the AI: Production API latency is high. What changed and what s the safest way to fix it? Behind the scenes: The AI gets real metrics, logs, and recent change history It does ... ... execute anything on its own It proposes safe recovery

... Happy holidays friends! Been working on a side project and decided to share this one: Leo Recovery a recovery

... have to get the whole history back (expensively). Right now, after my 2 weeks of traveling I'm dealing with the same thing: Recovering my data from the last 15 years, and I've tried all sorts of programs. Recoverit Wondershare Disk Drill R-Studio EaseUS data - this one seems to be the most effective So I haven't gotten my data back yet because I have to buy a drive, but I'll make a change ... ... least 2 times. Ideally, keep things in the cloud, although I know some files are better kept locally. Don't carry disks when travelling (and be more careful with the bags you have the disk in). What data recovery

... never lost your mail box get recovery key based temporary email with tempomailusa.com ...

... Workout . - Mobile App. The idea came from a problem I faced myself most workout apps look polished but rely heavily on fixed templates or generic routines. As someone who trains regularly, I always felt the logic behind programming (splits, recovery, frequency, progression) was missing. I wanted something that thinks more like a coach. So I built ActForge Workout an app that generates workout splits and sessions based on: training goal experience level available time recovery

... everyone, I m currently in gambling addiction recovery, and through my own experience I ve seen and used every trick gamblers rely on to hide their disease. What people rarely talk about is the other side: the parents, spouses, and loved ones who get hit the hardest. They carry the emotional and financial weight and are often forced to take full control of the gambler s finances just to keep things safe. That loss of independence makes recovery

... today a tool designed to safely recover tokens from your wallets that have been compromised. The problem: Hackers usually drain funds from wallets after they have been compromised, but can leave some valuable ERC-20 tokens trapped. Most existing recovery options force you to share private keys with strangers which is basically trading one risk for another. Our solution: RescueFi uses EIP-7702 account abstraction to let you rescue funds without collecting your private keys. Keys never leave your device ... ... Highlights: Works across Ethereum, Arbitrum, BSC, Base, Optimism Practice safely in test mode before using real funds Simple UI for both beginners and advanced users How you can help: Check out our launch Your feedback on recovery

... lived functions. But for long-running, stateful agents, the kind that need to persist data, auto-recover from crashes, and expose custom endpoints it gets surprisingly messy. I ve spent so much time setting up VMs, Docker configs, and recovery logic than actually writing agent behavior logic. Has anyone else faced this? Curious how others are handling deployment for autonomous agents that aren t just scripts or jobs, but actual long-lived services. I ve been working on a solution ... ... click using a prebuilt Docker image. Once deployed, your agent will include the following features:: State Persistent: Both in-memory runtime state and long-live state snapshot, so agent remember what it was working on even after recovered. Recovery