
u/Emojinapp

My digital legacy app just went live. It lets your family keep talking to you after you’re gone.
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
My app got rejected and the IAPs stayed waiting to review
Just like the caption says, I don’t know what to do about this scenario. I got rejected for some minor reason but my auto renewable subscriptions were not returned, they stayed waiting to review, now I have the new binary ready to go. When the status of the subs wouldn’t flip even after I renamed and saved them, I resubmitted and put the peculiar iap situation in the review notes hoping the hanging subs could be reviewed with the binary. They rejected it again for IAPs not being attached, I reached out to developer support and they claimed they have set the statuses to developer rejected which was a lie they are still currently waiting for review. Has anyone faced this predicament and is there any other way to get around it besides waiting for support to action it from backend?
I built a naming system that rejects most of what it generates. Drop a one-liner and I'll run yours in the thread
I kept naming my own products badly, so I built a process to fix it. It's called Onymetry. The thing that made it work was flipping the goal: most generators hand you 200 names and leave you to sort it out, mine kills almost everything it produces and returns a small finalist set with reasons attached. My own naming tool went through two self naming runs before it survived its own standard. The first attempt was Nymbrief, which died on the natural-reading test.
I need real briefs to find out where the method breaks, so I'm doing 9 free runs right here in the comments.
Comment one line on what you're building, who it's for, and any names you've already rejected. I'll reply with one to three finalists, the reasoning behind each, and the concerns I'd have about them.
First 9 comments get a run. No signup, no DM, nothing to click. One ask: don't self-select out because your category is crowded or your product is strange. Those are the cases I actually need.
I built a naming system that rejects most of what it generates. Drop a one-liner and I'll run yours in the thread
I kept naming my own products badly, so I built a process to fix it. It's called Onymetry. The thing that made it work was flipping the goal: most generators hand you 200 names and leave you to sort it out, mine kills almost everything it produces and returns a small finalist set with reasons attached. My own naming tool went through two runs before it survived its own standard. The first attempt was Nymbrief, which died on the natural-reading test.
I need real briefs to find out where the method breaks, so I'm doing 9 free runs right here in the comments.
Comment one line on what you're building, who it's for, and any names you've already rejected. I'll reply with three finalists, the reasoning behind each, and the concerns I'd have about them. I'll also tell you what died and why, which is usually the more useful half.
First 9 comments get a run. No signup, no DM, nothing to click. One ask: don't self-select out because your category is crowded or your product is strange. Those are the cases I actually need.
I built a naming agent that found three clean .com names. Should it become an app, a service, or a free developer skill?
I have been working on a naming system called Onymetry that searches for brandable names while also checking whether they offer a realistic clean slate for branding and SEO.
The first three serious naming runs produced:
Onymetry, which became the name of the system itself
Shotdresser(for an AppStore screen shot editor)
Oqvara(a mobile testing plugin)
I was able to buy Onymetry.com at the normal registration price, and I confirmed that the .com domains for Shotdresser and Oqvara were also available at base price when generated.
That was the main problem I wanted to solve. Most naming tools suggest names that sound good until you search them and discover an existing company, a parked premium domain, crowded search results, or dozens of similarly named products.
Onymetry currently runs as a skill inside my Codex and Claude Code environments. I give it a product description, and it conducts a deeper naming and validation process before returning candidates.
Now I am trying to decide how to position it:
Build it into a standalone web or mobile app and charge for access.
Use Onymetry.com as a paid naming service. People submit a product description, I run the system myself, and they receive a researched shortlist.
Publish the skill freely so developers can run it inside Codex, Claude Code, or similar coding agents.
Package it as an official plugin or hosted tool that agents can call directly.
Keep the core skill private, but offer both self-service and higher-priced human-reviewed naming reports.
I am especially interested in hearing from people who have built developer tools, SaaS products, marketplaces, or productized services.
Which format sounds most useful and commercially realistic?
Would you trust a self-service naming app, or would the human-reviewed service be more valuable because domain availability and search results can change quickly?
Also, is this better positioned as a tool for founders and marketers, or as infrastructure for AI coding agents?
The outage from an hour ago was it Apple pulling the plug on OpenAI?
I’m sure we all just experienced that crazy iOS outage. And this is coming just a day after the lawsuit against OpenAI from Apple. Could there be a connection between the outage and lawsuit. Could Apple be pulling the plug on OpenAI. Would be interesting to see how this develops. In the meantime I will export a backup of my memories to and Md file just incase things get out of hand
Built an AI feature that saves you the 10 minutes you’d spend Googling “why did my stock drop today”
Briefcase is an iOS portfolio tracker I built solo, stocks, crypto, bonds, real estate, cash, all in one place. Just shipped an update today aimed squarely at a specific time-sink: checking on your portfolio and then manually digging through news to figure out why something moved.
The old flow, for me and probably you: open the app, see a red number, open a browser, search the ticker, skim three articles, still not sure which one actually explains it. That’s 10-15 minutes for something that should take 30 seconds.
What the update does instead:
Every holding shows its top headlines right on your dashboard, no separate search
Tap “Why did this move?” and the agent explains today’s price action with the actual news behind it, cited
A daily brief every morning ranks your biggest movers with the news attached, so you start the day already knowing what happened overnight instead of piecing it together
The part that actually saves time isn’t the AI part, it’s that you don’t have to leave the app or open five tabs. Everything that used to take a separate research detour is now inline.
It’s honest when it doesn’t know something too. Not every move has a clear cause, and the agent says so instead of inventing a reason, which matters if you’re going to trust it enough to skip own googling.
Free 3 days trial: https://apps.apple.com/us/app/briefcaseapp-8782dc/id6758148658
[Self Promotion] Built a portfolio tracker with a real agent inside it (not a chatbot wrapper)
Briefcase is an iOS app I built solo for tracking your investments, stocks, crypto, bonds, real estate, cash, all in one place. Just shipped an update that replaced the AI feature’s old single-shot prompt with an actual agent, and wanted to share the before/after since this sub cares about that distinction.
What changed:
Old version: prompt template, no memory of your actual holdings, no way to verify what it said
New version: agent with tool access, pulls real market data + news per holding, and shows its actual tool calls (source, ticker, query) instead of just a confident-sounding answer
Proof it’s not running on stale training data: I asked it to break down today’s moves across a few holdings, and it correctly reasoned through the SpaceX-Cursor acquisition’s effect on SPCX, an event from just a few weeks ago. Most models would either not know about it or hallucinate something plausible-sounding instead.
New features on top of that:
Daily Brief: morning digest of your biggest movers with cited news
Headlines on every holding, right on your dashboard and on each asset’s detail page
“Why did this move?” — tap any holding, agent explains today’s price action with sources
The fun part was making it degrade gracefully. Not every mover has news behind it, so the agent has to say “no specific news explains this” instead of making something up. That honesty was harder to get right than the tool-calling itself. AppStore: https://apps.apple.com/us/app/briefcaseapp-8782dc/id6758148658
Built a portfolio tracker with a real agent inside it (not a chatbot wrapper)
Briefcase is an iOS app I built solo for tracking your investments, stocks, crypto, bonds, real estate, cash, all in one place. Just shipped an update that replaced the AI feature’s old single-shot prompt with an actual agent, and wanted to share the before/after since this sub cares about that distinction.
What changed:
Old version: prompt template, no memory of your actual holdings, no way to verify what it said
New version: agent with tool access, pulls real market data + news per holding, and shows its actual tool calls (source, ticker, query) instead of just a confident-sounding answer
Proof it’s not running on stale training data: I asked it to break down today’s moves across a few holdings, and it correctly reasoned through the SpaceX-Cursor acquisition’s effect on SPCX, an event from just a few weeks ago. Most models would either not know about it or hallucinate something plausible-sounding instead.
New features on top of that:
Daily Brief: morning digest of your biggest movers with cited news
Headlines on every holding, right on your dashboard and on each asset’s detail page
“Why did this move?” — tap any holding, agent explains today’s price action with sources
The fun part was making it degrade gracefully. Not every mover has news behind it, so the agent has to say “no specific news explains this” instead of making something up. That honesty was harder to get right than the tool-calling itself. I will appreciate your downloads and feedback. AppStore: https://apps.apple.com/us/app/briefcaseapp-8782dc/id6758148658
Shipped: turned my portfolio tracker’s AI from a wrapper into an actual agent
Been building Briefcase (iOS portfolio tracker) solo, and just shipped the update I’ve been wanting to build since v1: the AI feature finally has tools instead of just a prompt template. Briefcase is an iOS app built for tracking your investments, stocks, crypto, bonds, real estate, cash, all in one place
What changed:
**•** Old version: single-shot prompt, no memory of your actual holdings, no way to verify what it said
**•** New version: agent with tool access, pulls real market data + news per holding, and shows its actual tool calls (source, ticker, query) instead of just a confident-sounding answer
Proof it’s not running on stale training data: I asked it to break down today’s moves across a few holdings, and it correctly reasoned through the SpaceX-Cursor acquisition’s effect on SPCX, an event from just a few weeks ago. Most models would either not know about it or hallucinate something plausible-sounding instead.
New features on top of that:
**•** Daily Brief: morning digest of your biggest movers with cited news
**•** Headlines on every holding, right on your dashboard and on each asset’s detail page
**•** “Why did this move?” - tap any holding, agent explains today’s price action with sources
The fun part was making it degrade gracefully. Not every mover has news behind it, so the agent has to say “no specific news explains this” instead of making something up. That honesty was harder to get right than the tool-calling itself.
I will appreciate any feedback or downloads and yes I will update the AppStore screenshots soon to showcase the new news features. AppStore: https://apps.apple.com/us/app/briefcaseapp-8782dc/id6758148658
Prelude therapy prep V1.03 update
I have just shipped version 1.03 of Prelude therapy prep. For context, it’s an Apple Intelligence powered tool that helps users prepare for therapy through a voice session that surfaces the thoughts most pertinent to share in therapy. With the feedback I got from my initial post I went and did a broad sweep of bugs and improved most of the features. The worst of the bugs was a broken voice prefetch system I thought was working, I removed it completely and replaced it with clear instructions on how to download natural voice(the app automatically detects it). The agent was also cutting people off when they made short pauses, I increased the silence threshold to 1300ms making it less likely for the agent to interrupt incomplete user entries. I also worked on the brief quality, it introduced a bit of latency with brief generation I will hopefully address that in the next update. The next update will be built to support ios27 and I will be transitioning the app to use the Private cloud compute for better model quality. Also the increased context window would let me leverage prompts better. Prelude remains free, but I will be adding a one time download fee once I cross 500 users, about half way there. App Store: https://apps.apple.com/us/app/prelude-therapy-prep/id6761587576
iOS 26.4 broke Prelude’s on-device AI sessions. I just shipped the fix in v1.0.2
If you downloaded Prelude recently and noticed your therapy prep sessions getting cut off early, that was a real bug and not your device. The iOS 26.4 update changed how the foundation models behave on-device and it was tearing down sessions before they could complete. Basically unusable.
I shipped v1.0.2 this week with the fix. Sessions run to completion now and the brief generation works properly again.
For context, Prelude runs fully on-device with no backend, no cloud, no third-party APIs. Everything stays local. That’s the whole point of the app. So when the foundation model behavior shifted in 26.4, there was no server-side patch I could push. Had to ship a proper update.
If you tried it and gave up, worth giving it another shot. And if you’re on auto-updates you probably already have it. The next update coming in a few days will have barge-in support.
App Store: https://apps.apple.com/us/app/prelude-therapy-prep/id6761587576
Inspired by black mirror I cloned myself so that relatives can talk to me even when I’m gone
I know some may find this dystopian, but this was literally inspired by black mirror episodes. I created a digital clone of myself and embedded it with my memories and personalities also gave it my voice and physical likeness so that it can video call my relatives and friends when I’m gone. I’ve been met with a lot of controversy but since this idea came from black mirror, I decided to share it here. Would you clone yourself BM style or am I crazy? The clone was built on echovault.me
Feature request: snoop from another project
Sometimes a project has a webapp, a mobile app, possibly even an android app and blog, I usually have a feature I’m trying to reflect from one work space to the other. Right now I just copy the files from space 1 to 2 creating duplicates. Or sometimes I get one agent to query the other pasting manually. Imagine if cursor actually was able to do that where I can reference one work space from the other. Or is it the way already and I just didn’t know?
Demo in the video. App Store: https://apps.apple.com/us/app/prelude-therapy-prep/id6761587576
I was wasting sessions. Showing up with nothing organized, blanking for 45 minutes, then remembering everything I wanted to say on the drive home.
Prelude fixes that. A voice agent talks with you before each session to surface what’s on your mind. Then it generates a structured brief you and your therapist work through together. My therapist said sessions noticeably improved once we started using the briefs.
Fully offline. Nothing leaves your phone. Free forever, no ads, no in-app purchases. Built it as a charity project for the mental health community.
A few of you asked what this actually looks like in practice.
This is my answer.
What you’re watching is not me. It’s an AI echo trained on my voice, my memories, and my personality, having a real-time video conversation. This is the technology I was describing. Not a concept. Not a render. A working demonstration.
We are genuinely at the point where the mind does not have to end when the body does. That sentence used to be philosophy. Now it’s just an engineering problem that a small number of people are actively solving.
The reactions I’ve been getting mirror what this community said. Some people find it fascinating. Some find it deeply unsettling. Both reactions make sense to me.
Where do you land after seeing it?
I’m in therapy and kept blanking every session. Everything I wanted to talk about would flood back on the drive home. So I built an agent to fix that.
Prelude runs a voice conversation with you before your session to surface what’s actually on your mind. Then a second agent generates a structured brief from that conversation. You bring the brief into the session and work through it with your therapist.
The interesting constraint I built around: the whole thing runs on-device. No cloud inference, no third-party APIs, no network calls at all. The agent and the TTS are fully local using Apple Intelligence. The brief generation is local too.
That constraint forced some real tradeoffs. On-device voice quality versus cloud. Local context window versus a hosted model with more headroom. I think it was the right call for the use case since someone’s pre-therapy thoughts are about as sensitive as data gets.
My therapist said our sessions genuinely improved. That was the real test.
Happy to get into the agent design in the comments.
What if death was only the end of the body and not the end of the mind?
That is not a philosophical question anymore. It is an engineering one.
Imagine a family meeting ten years from now where someone pulls up their great grandfather’s echo and asks him what he thinks about a big decision. His values, his voice, his way of seeing the world. Still accessible. Still useful.
Not a recording. A living personality model trained on who he actually was.
That is what I am building toward.
What if death was only the end of the body and not the end of the mind?
That is not a philosophical question anymore. It is an engineering one.
Imagine a family meeting ten years from now where someone pulls up their great grandfather’s echo and asks him what he thinks about a big decision. His values, his voice, his way of seeing the world. Still accessible. Still useful.
Not a recording. A living personality model trained on who he actually was.
That is what I am building toward.
(An echo is a term I coined to describe an AI model that simulates a person’s memories and personality)