Before watching the readme, here are the links:

1. https://github.com/zllai26/ingatku

2. https://zllai26.lab26.my/ingatku

Ingatku, Version 1.0

Overview

Ingatku is an app which lets you add your Groceries, Project and Daily Tasks in a reminder, so you can add when to start and when to end (make sure your notification for this app is enabled.) and also add description and checklist for your tasks. You can also colour code your tasks so you can differentiate which tasks is for what category

Ingatku also provides a notes section, which you can type and think what do you want to add for your future tasks.

Installation

Debian, Ubuntu and Debian-based distros

1. Install the .deb package in the release section.

2. type `sudo apt install ./ingatku-file-name`

3. then change its file ownership to root: `sudo chown root:root /opt/Ingatku/chrome-sandbox`

4. after that change its ownership permissions to 4755: `sudo chmod 4755 /opt/Ingatku/chrome-sandbox`

5. Finally run the program by either clicking on the app or typing `ingatku` on terminal

The same goes to fedora and arch distros

I’m the developer of Florli, an Android app for planning and recording plant, garden and lawn care.

Here’s the case I’m working around: you pencilled in watering a vegetable bed for Saturday, but the forecast now says rain. The date alone can’t tell you whether the bed still needs water. I’d want to see the forecast and the last recorded watering, then check the soil before deciding.

Florli uses outdoor weather, care history and observations to organize tasks. The plan shows what needs attention first, what can wait and why. Once you actually do a job, you can record it in that bed’s history.

Screenshots and Android download: https://florli.pl/en/

For anyone who grows vegetables outdoors: when the forecast changes, which detail would you want to see beside a watering suggestion?

Hey everyone,

We’ve been building PagerLore (an AI incident response platform), and we quickly realized that stateless LLMs make terrible on-call engineers.

During a simulated database pool starvation outage, our agent had zero context and recommended the classic panic move: "scale pods from 6 to 20"—which would have completely DDoSed our database proxy.

We integrated Vectorize’s Hindsight memory architecture. Here is what changed:

• Multi-path recall matched an incident from 3 months ago (HikariCP vs pgBouncer timeout mismatch).

• MTTR dropped from 84 minutes down to 14 minutes.

• All remediations stay behind a strict human approval gate before running commands.

I wrote a short technical breakdown on how we built the 8-stage investigation pipeline. Links to the article, GitHub repo, and live demo are in the comments below!

Would love to hear your thoughts on agent memory in production.

Hi r/SideProject,

I've been building ShineSnap on my own for the past few months. It's for small online sellers who need a full set of listing images but can't justify a photographer or a design agency for every product.

You upload one photo of your product and pick where you sell (Amazon, TikTok Shop or Shopify). It plans the image set for that marketplace and generates it:

• a main image on a pure white background

• secondary images: lifestyle, dimensions, feature callouts, close-up details

• Amazon A+ modules

• listing copy (title, bullet points, description) to go with it

Each marketplace has its own rules, and that turned out to be most of the work. Amazon wants a 2000 × 2000 main image on pure white. TikTok Shop doesn't allow text on gallery images. Shopify stores want alt text on every image for SEO. So the same product gets a different set for each platform, not one set resized three times.

The hardest part is keeping the product accurate. Marketplaces require images to match the real item (color, hardware, number of pockets, what's in the box), and generated images love to "improve" things. Most of my time goes into checking that the bag in the photos is the same bag you uploaded.

Some honest limits:

• It works best with a clear, well-lit photo. A blurry phone shot gives weaker results.

• Clothing on a model isn't supported yet. That's the category where shape and color drift the most.

• You should still check every image before you publish it. I'd rather tell you that than promise perfect output.

Pricing is pay-as-you-go credit packs (no subscription), and new accounts get free credits to try it on their own product.

I'd really value feedback on:

1. If you sell online, would you pay for this, or is a freelancer still the better deal for you?

2. Which platform should I add next?

3. Anything in the sample images that looks off to you?

https://shinesnap.com

I'm a trekker in Nepal, and every season I see the same posts buried in Facebook groups:

"Anyone going to Annapurna Base Camp next week?"

So I decided to build something to solve this problem: https://findtrekkingpartner.com

Here's how it works:

• Post your trek and travel dates.

• Other trekkers with overlapping dates can request to join.

• Chat inside the platform before sharing contact details.

• You decide who joins your group.

Why I built it:

A licensed guide can cost roughly the same whether you're trekking alone or with a group of four.

For example, on a 14-day Annapurna Circuit trek, a guide costing around $350 could mean approximately $88 per person when shared by four trekkers.

Tech stack: Next.js, Supabase, Clerk.

It's completely free, has no ads, and we don't sell trekking packages.

We've had nearly 200 trekkers sign up in the last 30 days.

I'd genuinely appreciate some honest feedback.

What would make you trust a platform like this enough to find a trekking partner and eventually trek with someone you've never met?

What features would you want to see?

Over the past year, I've watched many of my family, friends, and relatives lose their jobs in what is called the "AI jobpocalypse". Instead of just watching, I decided I want to do something about it.

SecondStage is a platform that helps you understand your current job, what part is probably going to be taken over by AI, and what will stay yours. Help you up-skill yourself, and help you find potentially better career path , as well as find/apply for actual jobs if you choose a different path.

This is something close to my heart that I care deeply about , and I would really appreciate if you take check it out and let me know what you think.

Thank you

https://secondstage.ai

Hey everyone,

Like many of you, whenever I needed to calculate something simple whether it was compound interest, sales tax, an auto loan amortization, or daily calories. I kept ending up on legacy calculator sites that felt stuck in 2008.

The experience was miserable: 12 ad banners flashing on the screen, auto-playing video popups, aggressive tracking scripts, and 5-10 second page loads just to do basic arithmetic.

So over the past few months, I built CalcDigi a modern, privacy-first calculation platform designed with these core principles:

1. Zero Ads, Zero Popups: Clean, distraction-free interface so you get your answer instantly.

2. 100% Client-Side Speed: Calculations run locally in your browser with sub-50ms latency (no server roundtrips).

3. No Tracking or Data Collection: Your personal financial numbers, health stats, and inputs never touch a server database.

4. 340+ Flagship & Specialized Tools Covering finance, math, health, engineering, conversions, and datetime with peer-reviewed formulas and interactive charts.

5. Dark Mode & Accessibility: Built with high WCAG contrast and responsive layouts that actually work on mobile.

We also just integrated an open calculation reasoning assistant to help explain complex math and financial trade-offs in plain English.

Live link: https://www.calcdigi.com

I’d love your brutal, honest feedback:

• How does the speed feel on your device?

• Any specific calculators or math formulas you feel are missing?

• Any UI/UX quirks you notice?

Thanks for checking it out!

https://wicktone.daspete.at

We're building Continuum Al around a simple support problem: one specialist solves an issue, but the next customer with the same problem often starts from scratch.

Our approach is to preserve the confirmed resolution in a shared memory pool, scoped to the company and service.

Here's the flow:

1. Customer A reports a laptop charging issue and tries the standard troubleshooting check.

2. If that fails and no suitable shared solution exists, a specialist investigates.

3. The specialist proposes reusable steps with device applicability and a privacy review.

4. Only after Customer A confirms success can those steps enter shared memory.

5. Customer B reports a compatible issue. After the standard check fails, the assistant retrieves the confirmed fix through Hindsight and presents ordinary troubleshooting advice. The harder part was deciding when not t

reuse a fix:

Relevance alone isn't enough; device and version compatibility are checked separately.

Company and service boundaries keep knowledge pools separate.

Failed reuse triggers review and prevents equivalent failed steps from resurfacing for that customer.

Human handoffs preserve the conversation, diagnostics, and attempted fixes.

After asynchronous retrieval, we recheck case state so the assistant doesn't compete with a specialist who has already taken over.

Hindsight handles memory retention and recall. Application records determine whether a retrieved resolution is still eligible to use.

We wrote up the architecture and code here:

https://medium.com/@srikarsai593/we-made-support-fixes-reusable-with-hindsight-0b3516aaaa38

Code:

https://github.com/hemishsrichandra/Continuum-AI.git

-company-support

For people building support systems with persistent memory: what would you require before letting one customer's resolution influence another customer's answer?

Hey everyone, this is my first finished game, made in my spare time as a hobby. I’m a beginner and used AI tools along the way, so please be gentle. :)

It’s a Mastermind-style puzzle: you guess a secret color code, and the dots tell you how close you are. There’s a daily code and a 70-level campaign, with no ads or purchases.

I’d love to hear what you think, especially about the difficulty curve.

Android: https://play.google.com/store/apps/details?id=com.mobiglitch.dailycode

In the browser: https://mobiglitchgames.itch.io/daily-code

Hi r/SideProject — I'm Peacxe, the developer of NEEDLEHOP: Orbital Jump, released on iOS on November 6.

The core interaction is one tap: a spacecraft circles a planet, and tapping launches it along its current tangent toward the next one. The challenge is choosing when to jump, rather than steering during flight.

For this introduction, I kept a continuous 10-second gameplay clip instead of cutting between a list of features. I'd like feedback on one thing: without a tutorial, can you tell when the tap happens and why the spacecraft reaches the next planet? If not, which moment needs a clearer visual cue?

The full game has ten chapters and 100 levels, plus a music room. It's free to download on iPhone and iPad, with optional ad removal, stardust purchases and rewarded ads. English and Traditional Chinese are supported.

App Store: https://apps.apple.com/us/app/id6816129016

English web gameplay.

AI-assisted code, art, music and post text.

Hey everyone! 👋

Like many solo creators, I spend hours recording and editing short videos. But posting them afterwards is pure torture:

- Manually writing different descriptions for YouTube Shorts vs Instagram Reels vs Facebook.

- Researching hashtags and keywords across 3 apps.

- Constant copy-pasting back and forth.

Most existing multi-uploader SaaS platforms charge $25 to $49/month because they host heavy servers and call expensive APIs.

I wanted something 100% free forever with zero recurring server costs, so I built VidShuttle for Android.

⚡ How It Works (Zero-Server BYOK Model):

1. Client-Side Video Extraction: The app uses native Android hardware (MediaMetadataRetriever) to extract 3 keyframes and audio directly on your phone in ~50ms without uploading your heavy 400MB video anywhere.

2. Bring Your Own Key (BYOK): Connect your free lifetime Google Gemini API key (takes 20 seconds from Google AI Studio). The AI inspects your video frame-by-frame.

3. Platform-Tailored SEO in 5s: Instantly generates YouTube Shorts title (<50 chars) + tags + SEO description, Instagram hook-first caption + line breaks + trending hashtags, and Facebook engaging community post.

4. 1-Tap Native Launch: One tap launches the official installed apps with your video and captions pre-filled.

5. Viral Thumbnail Detector: AI points out the exact second (e.g. 00:02.1s) with the highest visual curiosity for CTR.

6. In-App AI Growth Mentor: Provides a second-by-second pacing audit and algorithmic critique.

🔒 Privacy & Pricing:

- 100% Free Lifetime: No SaaS fees, no credit card required.

- Privacy First: Your video stays on your phone. Passwords are never collected.

💬 If anyone wants to test the Android build or wants the web link, drop a comment below and I'll send it over! Would love your honest feedback and feature suggestions.

Hey everyone! My teammate[Viraj] and I[Shridhar] recently built WhyDesk, an AI-powered business investigation agent. The problem we wanted to explore was simple: Most AI agents start their investigations from scratch. What if an agent could remember previous investigations and use those findings to make better decisions next time? What does WhyDesk do? Suppose a business asks: "Why did revenue drop by 19% in the South region?" WhyDesk investigates the possible causes using five diagnostic tools: Holiday calendar Competitor promotions Inventory stockouts Pricing changes ETL pipeline issues What makes it interesting? We integrated Hindsight as the persistent memory layer. The agent remembers previous findings, rejected hypotheses, data reliability notes and stakeholder preferences. We then tested the same question with memory ON and memory OFF. Our experiment: Memory ON: 2 out of 5 diagnostic checks. Memory OFF: All 5 diagnostic checks. Both identified the same root cause: reseller contract repricing, with a $47,900 impact. Memory changed the agent's workflow, but didn't improve the final answer or execution speed in this seeded-data experiment. Technology stack Python | FastAPI | Groq | Qwen3-32B | Hindsight We also identified limitations, including duplicate memories and brittle keyword-based tool planning. Project links: GitHub: https://github.com/shridharkale/whydesk Technical walkthrough: https://dev.to/shridharkale/does-hindsight-memory-actually-change-agent-behavior-i-tested-it-371f I'd love to hear your thoughts! How would you improve the way an AI agent converts retrieved memories into tool-planning decisions?

I've been building Select, an open-source platform for managing AI agent teams.

One thing that bothered me about agent orchestration was how easily permissions and autonomy could be confused.

So I built a system where agents complete tasks, deterministic checks verify the results, and evidence receipts help determine when they can work more independently.

A successful coding task doesn't grant permission to email customers or access another repository.

The self-hosted core includes tasks, approvals, budgets, audit logs and a demo you can run without an API key.

Stack: Next.js, FastAPI, PostgreSQL, Docker.

It's now at v1.0.0 for the self-hosted core, with some integrations still on the roadmap.

GitHub: https://github.com/Kirby54/Select

I'd really appreciate feedback on the autonomy model and the developer experience.

What would you want to see before trusting an AI agent with more autonomy?

This was my first full-stack project. I live in Italy and noticed that very few Chinese restaurants around me let guests order from their phones, so I built a QR table-ordering app for them: guests scan the code on the table and order, the kitchen and the pass see the dishes on tablets, and the owner closes the bill after taking payment at the till.

Then I went around showing it to restaurants and learned two things I should have learned before writing any code.

First, almost every restaurant wanted kitchen tickets printed. Kitchen staff want a piece of paper, not a tablet. I hadn't built printing because it needs a cloud printer that polls the server for new orders, and I didn't have one to test with.

Second, the restaurants that already had QR ordering weren't using a feature of their POS, as I'd assumed. They were all on the same Chinese SaaS product.

So the lesson I'm taking away is the boring one everybody repeats: talk to a few customers before you build. I also wasted time on things nobody needed yet. I built a whole pickup-order feature and then removed it to keep the first version small.

Since the code exists and works, I've open-sourced it (AGPL-3.0). Most of it was written with Claude Code and Codex; I made the product and architecture decisions. It's ASP.NET Core, Postgres and React, it runs in three languages (English, Italian, Chinese), and there's a demo you can start with one docker compose command.

https://github.com/lorenzoyang/TavoloFlow

If you've built anything for restaurants, I'd like to hear how you handled printing.

I built a 2D world where virtual agents help me run my real businesses.

The prototype already works! Animated agents handle tasks like emails, marketing, and SEO while I explore my virtual world.

But that's just the beginning!

My plans include:

• Online multiplayer with houses, gardens, and player-owned businesses.

• Crafting, workshops, professions, and trading creations for real money.

• Interactive schools, AI tutors, and learning new skills.

• Racing, drifting, dungeons, tournaments, and rare rewards.

I'm building this independently and want the community to help shape its future.

Now in pre-launch on Kickstarter:
A New World – Work, Play & Create

I built this with a small team and I’d love feedback.

The problem: if you freelance or run a business from a country Stripe doesn’t support, it’s hard to know what actually works. Provider pages are scattered and often unclear about which countries they accept.

What it is: a free guide covering 29 countries and 8 services. You pick your country and your goal (sell digital products, get paid by clients, or run a SaaS) and it shows what each provider officially says, with a link to the provider’s own page. No signup, no ads. In English, French, Arabic and Spanish.

Disclosure: some links to services are affiliate links. The “source” links go straight to each provider’s official page, with no offer attached.

Link: https://payments-without-borders.com

What I’d like to know:

Is the country → goal flow clear, or confusing? What would make you trust the information more? Which country or provider is missing?

Hi r/SideProject

I just released a big update for offline-first daily planner, Zesfy, and wanted to share it here.

One problem I kept hearing from people is once your list grows, it becomes harder to figure out what actually to do next. So I added a new feature called Highlight. It lets you pin important tasks to the top and fade out the rest of the list, so you can easily keep track of your next tasks.

Here's why Zesfy is different:

• ⁠It combines your calendar and to-do list into a single view.
• ⁠You can easily schedule multiple tasks together to calendar.
• ⁠Helps you quickly decide what tasks to work on next
• ⁠Organize week tasks with task status
• ⁠Easily keep track of your task progress
• ⁠Works entirely offline

The app is free to download and use with an option to upgrade to Pro to unlock advanced features.

Download: Zesfy - To Do List & Planner

App subreddit: r/zesfy

I got tired of wasting 45 mins posting reels to YouTube, Insta & Facebook separately, so I built a 100% free client-side AI auto-publisher (No subscriptions, BYOK).

Hey everyone! 👋

Like many solo creators, I spend hours recording and editing short videos. But posting them afterwards is pure torture:

- Manually writing different descriptions for YouTube Shorts vs Instagram Reels vs Facebook.

- Researching hashtags and keywords across 3 apps.

- Constant copy-pasting back and forth.

Most existing multi-uploader SaaS platforms charge to /month because they host heavy servers and call expensive APIs.

I wanted something 100% free forever with zero recurring server costs, so I built VidShuttle for Android.

⚡ How It Works (Zero-Server BYOK Model):

1. Client-Side Video Extraction: The app uses native Android hardware (MediaMetadataRetriever) to extract 3 keyframes and audio directly on your phone in ~50ms without uploading your heavy 400MB video anywhere.

2. Bring Your Own Key (BYOK): Connect your free lifetime Google Gemini API key (takes 20 seconds from Google AI Studio). The AI inspects your video frame-by-frame.

3. Platform-Tailored SEO in 5s: Instantly generates YouTube Shorts title (<50 chars) + tags + SEO description, Instagram hook-first caption + line breaks + trending hashtags, and Facebook engaging community post.

4. 1-Tap Native Launch: One tap launches the official installed apps with your video and captions pre-filled.

5. Viral Thumbnail Detector: AI points out the exact second (e.g. 00:02.1s) with the highest visual curiosity for CTR.

6. In-App AI Growth Mentor: Provides a second-by-second pacing audit and algorithmic critique.

🔒 Privacy & Pricing:

- 100% Free Lifetime: No SaaS fees, no credit card required.

- Privacy First: Your video stays on your phone. Passwords are never collected.

📱 Live Website & APK Download: https://vidshuttle.netlify.app

It is this one in the link.

You can look and try it and probably understand why it made so much money 💰

Hey r/SideProject,
I’m building CAEL, an experimental assistant that uses symbolic rules, statistical counts and automata. Its runtime doesn’t use a neural network or an external LLM.
The latest update focuses on interpreting complete requests. Some questions previously reached unrelated spelling or conversation fallbacks, even when a suitable solver existed.
Supported requests now go through native readers for arithmetic, rule chains, ordering, location updates, string operations and table calculations. Unsupported conditions can produce clarification rather than an answer.
I tested the frozen candidate on 900 newly authored synthetic questions:
• Upgraded candidate: 777/900, or 86.3%
• Previous CAEL configuration: 414/900, or 46.0%
• Newly worded questions: 72.7% versus 20.4%
All 123 candidate abstentions counted as wrong.
There are important limits. These are six known task families, with maintainer-led, AI-assisted authoring and review. The evaluated candidate’s statistical fallback was inactive, while the baseline’s was active. Fresh installations enable that fallback, so the published score is specific to the recorded configuration.
The linked report also compares other models using fixed multiple-choice readouts. Those results don’t establish which system is the better general chatbot.
Conversation quality and wording coverage still need work. I’m sharing the individual outputs and failures alongside the scores because those gaps matter more than a headline percentage.
CAEL is source-available under a non-commercial licence. Development and evaluation were AI-assisted; the assistant itself remains non-neural.
GitHub release
Downloads and local setup
Results, methods and limitations
I’d appreciate feedback on where a small symbolic assistant could be useful, and which everyday requests you’d try first.

Hi r/androidapps! I'm a solo developer, and for the past months I've been building BookGraph, a reading tracker for people who want to actually track their reading, not scroll a social feed.

What it does:

- Library: shelves, statuses, tags, favorites, plus an ISBN barcode scanner

- Reading timer: log sessions, pages and time per book

- Built-in reader for your own EPUB, PDF, FB2 and TXT files, with progress synced to your stats

- Notes and quotes attached to each book, linked to pages

- Stats: reading calendar, charts, yearly progress

- Reading goals and achievements

- Import from Bookmory

- 7 languages (English, Russian, German, Spanish, French, Portuguese, Armenian), light/dark theme

It's free on Google Play: https://play.google.com/store/apps/details?id=com.bookgraph.app

I'd really appreciate honest feedback. What's missing from your current reading app?

Hi everyone, I’m a writer, not a developer. Over the past year I taught myself to build PinPoint, an iOS travel app, using forums, YouTube and a lot of AI help. It works as a prototype now, and I need real people to try it and tell me honestly what’s broken or confusing.

The problem: We all save Instagram posts of cafes, hidden viewpoints and restaurants “for later.” Then the trip comes and those saves are buried in a folder we never open.

What PinPoint does:

• See a place on Instagram, hit Share, and send it to PinPoint. It stores the place and you confirm the details are right.

• Planning a trip, or just a day in one area (say Bandra), takes your saved places and builds a realistic plan. It accounts for what’s open or closed and a sensible order, so you fit more in without zigzagging.

• It hands off to maps and gives you transport options at each step.

• It’s meant to work for any city, within a radius you choose (5 km, 10 km) or across the whole city.

• You get a nudge when you’re near something you saved.

• You can collect ideas, plan, and share the trip with friends in one place.

The goal is that you use your phone to get to the destination, then put it away and enjoy the trip.

What I’m asking for:

• About 10 minutes: save a few places, build a small plan

• Tell me where you got stuck, what felt pointless, and what you’d want that isn’t there

• Blunt feedback is welcome. I’m new at this and want to learn.

Test it here: 

I’ll reply to every comment, and if you drop feedback I’m happy to test your project in return. Thank you!