r/AIToolMadeEasy

I got tired of begging for backlinks manually, so I built an agent that does it on autopilot

So basically it works like this:

Agents find relevant blog posts in your niche, craft personalized emails, and get your product featured. All on autopilot.

It's called MentionAgent, an AI agent that does all of this through Telegram (or through the web dashboard).

You never send anything without approving it first. (But you can choose to run everything 100% on autopilot)

Results so far: One user got 3 mentions including a DR 72 backlink.

Let me know what you think!

Over the past few weeks I've been building Gray Box — a small, local-first tool that acts as long-term memory for anything I'd otherwise forget (work notes, meeting takeaways, task owners, random ideas, personal stuff too).

The idea is simple:

1. Capture — dump whatever's on your mind, instantly, no structure required. This step does nothing clever on purpose — it just writes your text to an immutable inbox. Zero chance of losing an idea to a bug or a slow API call.
2. Organize — on demand, an LLM reads your unprocessed notes and extracts people, projects, tasks, decisions, meetings — then deterministic Python (not the LLM) creates/merges the actual wiki pages and maintains backlinks. The model only reasons; it never touches the filesystem directly.
3. Ask — query or chat with your knowledge base and get a cited answer pulled only from what you've actually captured. If it doesn't know, it says so — no hallucinated answers.

Why I built it this way:

• Plain Markdown + YAML frontmatter, no database. Every page is a .md file you can grep, diff, or read in any editor forever. If you stop using Gray Box tomorrow, your knowledge base is just a folder.
• No vector DB by default. At personal scale (hundreds–low thousands of pages), keyword search + a real link graph (related/backlinks, walked one hop during retrieval) handles almost everything. Embeddings are there if you want better recall, but they're opt-in, not a prerequisite.
• Immutable inbox. Your raw notes are never edited or deleted by the organizer. If the LLM mis-extracts something, your original words are always still there.
• Any LLM. Built on LiteLLM, so point it at OpenAI, Anthropic, Gemini, Mistral, or a fully local model via Ollama — one config value.

It also ships with a nice interactive TUI (arrow-key menu, file-import shortcut, workspace switching, live spinner during LLM calls) if you'd rather not memorize CLI flags — that's honestly become my favorite part of the project.

There's also a lightweight local dashboard for browsing your knowledge base, exploring backlinks, visualizing your notes as a graph, and chatting with your captured knowledge—all without leaving your machine.

Repo: https://github.com/Aaryanverma/graybox

pypi: pip install graybox

I'd genuinely love feedback — especially from anyone who's tried the "capture now, structure later" approach with other tools and has opinions on where it breaks down at scale.

It's not trying to be a "real-time collaborative team wiki" or a WYSIWYG notes app — it's aimed at one person's running memory of their own life and work, captured with as little friction as possible.

What is Littlebird?

Littlebird is an AI productivity assistant that runs alongside your work. It can see what is on your screen, read your connected apps, transcribe meetings, draft emails in your voice, and remember everything you tell it across conversations. I use it to auto-summarize client calls, pull action items by person, and draft follow-ups so I am not handwriting notes for 45 minutes after every Zoom.

What you get: 50% off your first 2 months of any Littlebird paid plan

What I get: Small commission through the partner program

Link: https://try.littlebird.ai/hannahcohen2021-b0dF

Works best for remote workers, freelancers, and anyone who does a lot of video calls and needs auto-transcribed meeting notes + follow-up drafts. Definitely can help founders organize thoughts and tasks!

Full disclosure: I am in the partner program and use it daily for my freelance work.

For most of my life I tried to be someone else. I'd find someone I admired, decide they were better than me, and copy them. That mindset pushed me into a business I never enjoyed and only started because I looked up to one specific guy. It failed. I felt completely lost.

Around that time I was obsessively tracking my sleep with a Whoop, trying to optimize it. I kept getting good recovery scores. And I was still exhausted, yawning through entire afternoons, dead by 2pm. That's when it clicked: the score doesn't do anything. It just confirms you slept well or badly. Cool. Now what? Knowing isn't fixing.

So I built the thing I actually wanted. It takes the data your wearable already collects sleep, recovery, heart rate, and turns it into a daily protocol instead of another number. It tells you what supplements to take based on your metrics, predicts your most productive hours and gives you the exact time window when you should do deep focus tasks and light focus tasks, it tells you how much caffeine you have in your system left based on your first coffee taken and notifies you when you should take the next caffeinated drink for maximum productivity, it even tells you when to nap so your energy lasts the whole day instead of crashing and much more...

It's on the App Store as RizeAI https://apps.apple.com/us/app/rizeai-maximize-your-energy/id6762402079. i built by myself, it's early stage right now, and I want honest feedback, what's confusing, what's missing, what you'd never use. Tear it apart.

Made this, so obvious bias, but the problem is real enough that I think it's worth posting.

Everyone saves cooking videos. Nobody cooks from them. The video is a terrible format for actually standing at a hob with your hands covered in something, and a lot of creators never write the recipe down anywhere at all.

ReciReel takes a shared video from Instagram, TikTok, Facebook or YouTube and writes the recipe out properly. Amounts, steps in order, timings, nutrition per serving including net carbs, equipment list.

It reads what's happening in the video rather than just the caption, which matters more than it sounds like it should, because so many captions are just "recipe below 👇" and then there's nothing below.

Free tier is 3 imports then 1 a month, so you can see if it's any good without paying. iPhone, iOS 18+, US store.

https://apps.apple.com/us/app/recireel-video-to-recipe/id6763971435

If anyone here has tried the other apps in this space I'd be interested in what made you stop using them. That's more useful to me than praise.