I lost my uncle to violence in Nigeria a few years back. Before he died he sent me a voice note of encouragement, and I still have it, but it’s frozen. It can’t answer anything I ask it now.
EchoVault is my attempt to fix that. You do guided check-in sessions with an AI biographer that draws your actual stories out of you, and over time it builds an Echo that talks the way you talk and knows what you’d say. Most things in this space build an avatar from a few minutes of uploaded footage. This works the other way around, so the Echo can answer questions you never explicitly answered because it’s learned how you actually think.
Every response is grounded in something you really said, which means it won’t invent memories you never had.
Text is free forever with unlimited check-ins and no card. $12/mo adds your real cloned voice. There’s a $99.99 one-time setup for a lifelike video avatar that includes 3 months of live video, then $18/mo after that. The video tier is a live face to face conversation, not a rendered clip.
You name custodians up front. If a full year passes with no activity on your account, your Echo transfers to them automatically. No paperwork for a grieving family to figure out.
I shipped text, voice, and real-time video together in June 2025, which as far as I know made this the first digital legacy product where all three worked at once.
iPhone, iOS 15.1+: https://apps.apple.com/us/app/echovault-digital-legacy/id6762042028
Built solo, nights only. Happy to answer anything. Will appreciate any feedback too, thanks

Hey everyone! Long-time lurker, first-time poster here. I've been building a lifelogging app called LifeTally and wanted to share it with this community specifically, since you're the people who'd actually stress-test it.

https://apps.apple.com/ph/app/lifetally/id6788512911

The idea: no folders, no tags, no rigid structure - you just write opr voice log a line whenever something happens ("had coffee with Dad," "finished Atomic Habits," "called Bob"), by text or voice. Over time it turns into a searchable record of small (or big) memories your life, and you can ask it things like "when did I last call my mom?" or "how many coffees did I have last month?" and it pulls the answer straight from your logs. It basically becomes a database of the micro moments you log so overtime it becomes more powerful.

I'd genuinely love feedback from people who already do some form of lifelogging - what's missing, what would make this useless for your workflow vs. what might actually replace what you're using now. Happy to answer anything about how it works under the hood too.

Would welcome you testing the app and rating it too!

Hey, I’m the developer of PC Recap.

Most computer-usage trackers answer, “How productive was I?” I wanted something that answered, “What did this part of my life on my PC actually look like?”

PC Recap records active application usage and turns it into visual Today, Week, Month, Year, All-Time, Decade, and On This Day recaps.

Version 1.1 is the biggest update so far:

• Day Replay lets you scrub through a recorded day
• Recap Studio creates stories for years, seasons, decades, or custom dates
• Automatic eras detect phases like a gaming era or coding era
• Memory Pins let you attach your own context to a period
• Historical Recovery can find limited pre-installation clues without pretending they are exact usage time
• ActivityWatch and ManicTime sessions can be imported
• Search, comparisons, time formatting, chart tooltips, and app detection are much clearer
• Tracking is more resilient to crashes, restarts, pauses, and closing the window

PC Recap is now open source under GPL v3. Everything is stored locally in SQLite. There is no account, desktop telemetry, cloud activity storage, or external AI API. A new archive starts empty, with no fake statistics.

ActivityWatch is still the stronger choice if you need Linux/macOS support, browser extensions, editor plugins, or an extensible tracking ecosystem. PC Recap is aimed at a different experience: less productivity dashboard, more personal digital time capsule. It can also import ActivityWatch sessions if you want to use both.

PC Recap is currently a Windows 10/11 x64 beta. The installer is unsigned, so Windows may display a SmartScreen warning.

Website: https://pcrecap.online
Source: https://github.com/TheAgencyMGE/pc-recap
Version 1.1: https://github.com/TheAgencyMGE/pc-recap/releases/tag/v1.1.0

I’d especially appreciate feedback on tracking accuracy, the new Day Replay, and whether the recaps become interesting after a few days of real use.

Check it out: mytimmiespassport.com and let me know what you think!

What's the coolest location you've been to? Let's try to fill out the World Stats page together!

Hi everyone! 👋 I’m the independent developer behind Everglow.

Most personal journal and diary apps suffer from the "black hole" problem: you log your thoughts, daily life, meetings, and trips, but they disappear into a chronological void, rarely to be resurfaced in a meaningful way. I wanted to transform the traditional "static diary" into an evolving, queryable Living Personal Database—without compromising privacy or shipping personal thoughts off to cloud servers for AI model training.

🛡️ Why Privacy-First?

Journaling contains your most personal memories and private data. Standard cloud-based AI solutions often route your data through third-party APIs where it can be stored, processed, or used to train future models.

Everglow is built local-first:

• On-Device LLM Inference: Powered natively on your device via Gemma 4.
• No Accounts, No Telemetry: In on-device mode, everything is processed and stored locally — no analytics SDKs, no sign-up. (If you opt into Everglow Cloud below, auth is subscription-linked plus device attestation, not a personal account — but it does register your device.)
• Offline-Ready: With the on-device model selected, indexing, RAG, and query workflows run seamlessly in complete airplane mode — zero network calls.

✨ Key Features

1. The "Life Indexer": As you record daily events, Everglow uses an on-device AI agent to extract entities, key events, and relationship connections, creating a dynamic web of your life.
2. Two-Tier Retrieval (Ask Tab):
   • Fast: Quick semantic vector scan via sqlite-vec for straightforward lookups.
   • Considered: Reads auto-generated monthly "rollup" chronicles — aggregated summaries of events, people, and themes — to answer questions that span a longer timeline.
3. Interactive Social & Entity Graph: Renders a force-directed map showing how people, places, and topics in your journal connect to one another.
4. Everglow Cloud (Optional Proxy): For faster speed you can opt into Everglow Cloud. The proxy routes requests securely (with zero-data retraining guarantees) using a dynamic token-cache system to keep costs low. Alternatively, you can bring your own remote API keys.

🛠️ Technical Architecture at a Glance

• Inference Engine: Powered by LiteRT-LM running directly on the iPhone GPU via Metal Shaders for high token generation speeds.
• Concurrency: Swift Concurrency with actor isolation — LLM inference runs inside a dedicated actor off the main thread, so C/C++ matrix operations never block the UI, keeping interactions fluid at 60/120 FPS.

📱 Get Started

Everglow is free to try with no mandatory subscriptions to get started.

• App Store: Download Everglow on the App Store

I'd love to hear your feedback on on-device LLM performance, RAG architecture on mobile, and local privacy design!

You can now see your game history, your late night trends, average bedtime, average pairings and more with PC Recap! Check it out at https://pcrecap.online