In an era of instant text storms, LoveLetterly is a quiet sanctuary for your deepest feelings. Craft password-protected digital keepsakes with curated background music and scheduled unlocking. No signups, no ads, completely private.
Hey PH! Working on ShareViral (shareviral.cash) and would love this community's honest take before our launch.
The problem we're chasing: businesses buy "leads" that were sold to 4 competitors, filled in by bots, or never consented to be called (which, since the FCC's one-to-one consent rule, is a per-call legal penalty in the US). Meanwhile creators with 5k 50k followers earn $0 too small for sponsorships, and affiliate programs only pay on completed sales.
Our approach:
Brand budgets lock into escrow before creators promote anything
Every lead gets a recorded 2 3 min AI qualification call within minutes of submitting a form
Money moves automatically only on verified results with a consent record naming the specific brand
No follower minimums anywhere. 5-layer click-fraud filtering, shown openly.
What I'd genuinely love feedback on:
Would you trust an AI call outcome to gate payments? What guardrails would you demand?
Creators does "paid per verified result" beat "wait until you're big enough for sponsors"?
If you've bought leads before: what would make you switch from your current vendor?
Brutal honesty welcome that's what we're here for.
Hi everyone I ve been working on something that came from a simple realization After an argument, many of us end up asking: Who s right? But that question almost never helps.
So I built Pairlia an AI designed to help couples understand their conflicts, not win them.
Instead of taking sides, Pairlia helps you:
understand what actually happened
uncover emotions and unmet needs
identify communication patterns
learn how to handle similar situations better
Over time, it builds a relationship memory, helping you recognize recurring patterns and break unhealthy cycles.
It can also act as a neutral mediator, where both partners can share their perspectives and feel heard. Try it here: https://pairlia.com I d really love your feedback:
Does this feel useful to you?
Would you actually use something like this?
Thanks a lot
From website development to custom software projects, CodeUnderscore works with businesses to deliver digital solutions that improve user experience and operational efficiency.
Hey everyone, just launched Analyse (analyse.net) and wanted to share it here.
The problem: most growth teams are running four or five separate tools that don't talk to each other. Analytics in one tab, SEO tool in another, content doc in a third, and a chatbot that can't see any of their actual data.
What we built: a unified growth platform with three pillars in a single subscription.
- Product analytics: cookieless, Mixpanel-grade funnels, cohort heatmaps, and segments without SQL
Hey PH I'm Nafiul, one of the makers of AI Emaily (launching today).
The thing that pushed us to build this: my inbox had quietly become a second job. Not the thinking the typing. The same "sounds good, Tuesday works," the follow-ups, the endless triage of what actually needs me. Every "AI email" tool I tried just summarized the pile or wrote replies that sounded nothing like me.
So we built an inbox with an AI that does the work, on your terms: Triage that floats what matters up and quiets the noise Drafts in your voice you set the tone in a Personal Context (your details + optional client profiles), so replies sound like you, not a template Three modes you control Manual Copilot Autopilot, with human approval, undo, and a full audit trail on every action Every provider, one inbox Gmail, Outlook, iCloud, IMAP on web, macOS, Windows, iOS, Android Private by design your mail is never used to train models
Every time I moved countries, I started from zero with my health story I suddenly had no health past, years of health check ups and trends as well as documented risks were lost.
As a patient advocate across 10 years and 4 countries, and noticed that no matter the system, the issue was always fragmented, messy, and hard to understand health data we have no real control over.
