experiment - Moozonian Search

bing.com• Mar 9, 2026• 1 min read

3 Unique Albums That Proved the Singer-Songwriter Era Was Real Between 1970 and 1975Singer-songwriter albums were really at their peak in the early 1970s. A lot of things were changing in the world of music, including how musicians wrote music, the genres they experimented in, and ...

github.com• Mar 7, 2026• 1 min read

Show HN: Synapse – structurally honest reasoning VM (spec) – the missing layerstory:i wanted to make use of the enormous corpus of docs, pdfs, epubs in my possessionand reason on top of them, reliably.so i started to look into RAGs, taming LLMs for my needs and desires;but they don't seem reliable and chat interfaces were not made for such tasks.so i wanted to build a version which runs on my own local device,reliable, potent, private and fast.as i was planning / architecting / experimenting,i realized that the agentic libraries are not very transparent or modular to bend to my needs.so i deconstructed to what they are fundamentally,finite state machines (first principles thinking)a reliable, battle tested computer science phenomena.so i started to think how can we leverage FSM in a more mature, modular and reliable fashion.i started to read papers, arXiv, etc.eventually, i came up with synapse.and i can't do it all myselfso here we are.Apache 2.0 license.please crucify and resurrect my ideasso that i can eventually reason on my corpus and build myself at a velo

feedster.co• Mar 6, 2026• 1 min read

Show HN: Feedster, an RSS/feed reader focused on discovery and agent integrationHey HN,I built Feedster for a few reasons:1. I want to spend more time reading people's blogs, long form content, even more traditional digital publications and less time on social media.2. RSS readers have typically felt a lot like Apple Mail circa 2010... Unread counts for every feed, everything in its own discrete view, no means for easily discovering new stuff. Not necessarily a bad thing, but it does make reading content feel like _work_ which is directly opposing goal number 1.3. No one has really rethought the shape of RSS in quite some time (Google Reader is probably the biggest re-think here that I can remember). It's typically been a client that downloads posts from various feeds on the internet. This is simple and it works, but what if there was a different shape that was more communal, more editorial, and was web-based?4. I haven't seen any RSS-powered AI agent workflows and I wanted to experiment with what that might look like. To start, I built a hosted MCP server that us

github.com• Mar 6, 2026• 1 min read

Show HN: Yappy – A Python TUI to automate LinkedIn yappingHey HN,I got tired of the performative culture on LinkedIn. The platform mostly feels like people just yapping at each other all day to farm engagement, so I decided to build a CLI tool to do the yapping for me. It's called Yappy (because we just yap yap yap).It is an open-source Python TUI that automates your LinkedIn engagement directly from the command line. It logs in, reads your feed, and uses the Gemini API to generate context-aware comments and drop likes based on your prompt parameters. Everything runs completely in the terminal, so you never actually have to look at the feed yourself.I know AI-generated comments and web scraping are controversial, and LinkedIn's TOS strictly prohibits this kind of automation. This is built purely as an experimental toy project and a proof-of-concept for integrating LLMs with terminal interfaces. If you actually decide to run it, definitely use a burner account, as LinkedIn will likely restrict you if you run it too aggressively.I am mostly loo

github.com• Mar 5, 2026• 1 min read

Show HN: A user daemon to provide an age-bracketing API(Before you react: I think these laws are pointless and dumb too, but they're still laws so here we are)Hi all, I saw a lot of talk about the new California (and pending Colorado) laws about requiring operating systems to provide an API to return a user's age bracket to applications. While I think most people agree that this is asinine, pointless, full of holes, open to abuse, etc. etc., it's also a legal requirement anyway.I've been playing with Claude Code lately and so I thought this would be a useful experiment - a small, self-contained project with a finite surface area and well-defined requirements. I should say the experiment wasn't whether Claude could do this, but whether I could provide decent instructions for Claude to do this and what level of detail I could get away with.Anyway, here's my latest project - aged, the age daemon. It's a straightforward app that I could have written myself despite being new to Rust, but the real experiment was in the extra features that I had

news.ycombinator.com• Mar 5, 2026• 1 min read

I miss the grind of writing software before AII learned HTML at 10, spent an entire summer figuring out how to link webpages together. At 14 I built a CNN-based security camera system for a school science fair — took months, 14-16 hour days, and I had no idea what I was doing when I started.Today I told Claude to fine-tune an LLM on my X posts. Prompt to finished model with a web UI in 30 minutes. I was impressed and unsatisfied at the same time. I achieved my goal but learned nothing — I don't even know which libraries it used.I'm not anti-AI. I use it for everything now. But the old way of writing software — the googling, the failed experiments, being stuck on a bug for days — that's where the actual learning happened. Every feature forced you to understand the codebase, read docs, weigh tradeoffs.I just wish the 14-year-old me had something left to figure out on his own.Link to the full article: https://open.substack.com/pub/princerawat/p/software-in-the-age-of-ai?r=yts8r&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

news.ycombinator.com• Mar 5, 2026• 1 min read

Fly.io deleted my apps and DBs in an unrelated organization without warningHi HN,I’m experiencing a destructive and seemingly erratic behavior from Fly.io's automated systems that resulted in a total loss of data across multiple organizations.I have been using Fly.io since July 2023 with two distinct organizations:Org A: Used for some Selenium-based automation experiments in late 2025 and other unrelated private projects through the years.Org B: A long-standing production environment with a Postgres database, active since 2023 with a consistent billing history.The Incident Recently, I discovered that everything across all my organizations has been nuked. Apps, databases, and even the volume snapshots (backups) have vanished. The dashboard for my database volume now simply says "deleted 16 days ago."The contradiction in their system is staggering:In both organizations, I see a semi-transparent banner: "Your account was flagged by our fraud protection system. Learn more" (the "Learn more" is not even a link).However, the "Billing" page for Org B still claims th

youtube.com• Mar 5, 2026• 1 min read

Show HN: Async Rust and Embassy on nRF52840: RGB LED Cycle (Video and Code)Basic RGB LED color cycling using async Embassy Rust on the Seeed XIAO nRF52840 (no_std, no_main, embassy-time for delays).Open to feedback on Embassy patterns, timing accuracy, or next steps like async I2C/sensors for robotics experiments.

moatradar.com• Mar 4, 2026• 1 min read

Show HN: MoatRadar – AI investment research through Warren Buffett's principlesHey HN,I’m a non-developer and this is the first app I’ve ever shipped in my life. I built it over the last few days using Claude and a lot of vibe coding.The idea came from my own investing workflow: I often look at companies through the lens of specific investors (Buffett, Lynch, Taleb, etc.). I wanted a tool that could generate investment ideas filtered through those frameworks.What the app does:You choose an investor (Buffett, Lynch, Soros, Damodaran, etc.) and an asset class (stocks, startups, crypto). The app then generates 10 opportunities and explains why that investor might find them interesting, based on their known principles.Under the hood: • Node.js server (no frameworks) • Vanilla JS frontend • GPT-4o for research / synthesis • live price data • Stripe + Google OAuth • hosted on RailwayIt’s still an experiment and I’m curious if the idea actually makes sense to other investors.You can try it here:https://www.moatradar.comHN users can get 10 free credits:https://www.moatra

github.com• Mar 4, 2026• 1 min read

Show HN: A .NET Web Framework on the Base .NET Core SDKI’ve been experimenting with building a web framework directly on top of the base .NET runtime without using the ASP.NET Web SDK.I'm calling it Wisp.The main motivation was frustration with some aspects of ASP.NET, especially the requirement to target the Web SDK instead of the base .NET SDK. That makes embedding small HTTP apps inside existing applications harder than it should be since it forces you to pollute your scope with the Web SDK.I also don't like CSHTML/Razor and wanted a more traditional templating language.Wisp is a relatively lightweight MVC framework built without any dependencies on the .NET Web SDK.Some highlights: - Runs on the base .NET SDK (no ASP.NET dependency) - Traditional MVC controllers - Dependency injection via Microsoft.Extensions.DependencyInjection - Configuration via Microsoft.Extensions.Configuration - Templating via the Fluid engine (Liquid-compatible) It's still very alpha and definitely rough around the edges, but I've already built a few small appli

news.ycombinator.com• Mar 3, 2026• 1 min read

Show HN: A runtime authorization layer for AI agentsHi HN,Over the past few months, we’ve been experimenting with something that kept bothering us about AI agents in production.Most agent systems today are “fail-open”: • The model proposes an action • The tool executes • Logs are written • Monitoring happens after the factThis works fine for demos and low-risk workflows.It feels different when agents: • trigger payments • deploy code • modify production data • access local files • interact with real infrastructureWe started asking a simple question:What if execution itself was policy-bound?⸻What we builtWe built a runtime authorization layer that sits between:LLM → Proposed Action → Policy Engine → Allow / Deny / Compute / Escalate → Execution → Trace + ReplayInstead of parsing messages or relying on post-hoc logs, we: • evaluate the proposed tool invocation • bind it to a policy (OPA-based) • gate execution before it runs • emit reproducible artifactsEach decision produces: • policy digest • input/output hash • trace ID • optional ledg

tools.geeksprep.com• Mar 2, 2026• 1 min read

Show HN: Browser-Based AI Watermark Remover – No Uploads, Client-Side OnlyI built a simple, fully client-side AI watermark remover that runs entirely in the browser—no images are uploaded to any server, no accounts needed, no ads or watermarks added on output. It targets common AI-generated watermarks like those from Grok, Gemini (Nano Banana / Imagen), Midjourney, etc., using a combination of inpainting heuristics and basic diffusion-style filling tuned for small logo/text overlays. (It's not a full advanced model like Lama or anything cloud-heavy—just lightweight JS + Canvas/WebAssembly ops for speed and privacy.) Why this exists:People keep asking for free, private ways to clean up watermarks from fun/experimental AI outputs without trusting third-party sites. Most online removers upload your image (privacy risk) or add their own branding/paywalls. This one keeps everything local, works on phones too, and is zero-friction.Try it here: https://tools.geeksprep.com/ai-watermark-remover (Drag/drop or paste image → process → download PNG)Feedback welcome: Does

archetype360.app• Mar 2, 2026• 1 min read

Show HN: Try Archetype 360 – AI‑powered personality test, 3× deeper than MBTIHi there, are you familiar with MBTI, DiSC, Big Five? Well I'm experimenting with a new kind of personality test, Archetype 360, and I'd love for you to try it for free and tell me what you think.- 24 traits across 12 opposing pairs -- that's three times more dimensions than MBTI or DiSC, so you get a much more nuanced profile. - A unique narrative report generated with AI (Claude), written in natural language instead of generic type blurbs. - Your role, goals, and current challenges are blended into the analysis, so the report feels relevant to your real‑life context, not just abstract traits.It's an "ephemeral app" so your report only lives in your browser, there's no login, and we don't store your data. Make sure you save the report as a PDF before you close the page.What I'm looking for is honest feedback on your archetype and report:- Did it feel accurate and "wow" or just meh? - Did you learn anything unexpected about yourself? - What did it miss or not go deep enough on?I'll use

news.ycombinator.com• Feb 28, 2026• 1 min read

Ask HN: Do fast-moving DevTools need localized documentation?I’ve been reviewing documentation strategies across several globally adopted DevTools and OSS projects.One pattern stood out.Even products with large user bases across Asia, Europe, and Latin America often keep their official documentation English-only.Some projects experimented with community translations in the past. But as release velocity increased, translations gradually fell out of sync. Eventually, many reverted to English-only.This raises two different possibilities:1. Localization is valuable, but maintaining it does not scale in high-velocity projects.Frequent releases mean documentation changes constantly. Keeping multiple languages synchronized introduces review overhead, validation work, and operational complexity.For fast-moving teams, English-only may simply be the rational trade-off.2. Localization may not be strategically critical for DevTools.Developers are generally comfortable reading English documentation. Core ecosystems (Stack Overflow, GitHub issues, RFCs) opera

news.ycombinator.com• Feb 27, 2026• 1 min read

Ask HN: Why do so many digital banks have such unreliable APIs?I have for years synced all my financial data through aggregators (Mint for a long time until it was shut down, YNAB for a bit, Monarch Money now, and have experimented with a dozen others along the way). I probably have 20 accounts across credit cards, bank accounts, investment accounts (traditional and crypto), retirement accounts, and others (HSA, transit/commuter card).Something I have anecdotally noticed is that the institutions that struggle the most (whether initial connection setup, reliability, or accuracy) are almost all "digital native" financial institutions.Cash App is the worst offender. First, it requires consistent MFA re-authorization, so my account gets disconnected every few days. That's a security design decision not necessarily a bug, although it feels like you could solve this with app-specific authentication (an aggregator logging in to check a balance should probably get more grace on MFA than a user logging into the app). More importantly, the API seems to spit

grubl.app• Feb 26, 2026• 1 min read

Show HN: Grubl – AI and structured recipe generationHi HN,I’ve been working on Grubl, an AI-powered cooking assistant focused on solving a surprisingly persistent problem: the daily “what’s for dinner?” decision.Most recipe apps are essentially searchable databases. I wanted to experiment with something more adaptive — a system that combines LLM reasoning with structured recipe data and user constraints (budget, time, dietary preferences, household size).Grubl currently supports:Recipe generation from mood, cuisine, or available ingredients“Fridge mode” (turn ingredients into meal suggestions)Weekly meal planning with ingredient reuse optimisationAuto-generated shopping listsNutrition-aware adjustments (macros per serving)Step-by-step live cooking mode with timersBasic taste preference learningSome interesting implementation details:Recipes are generated in structured JSON format rather than free text. This allows scaling, macro recalculation, cost estimation, and timer extraction.Ingredient ontology mapping is used to normalise synonym

about.looktake.io• Feb 24, 2026• 1 min read

Show HN: LookTake – Try anyone's makeup, outfit, or hairstyle on your photoHi HN, I'm Taemin. I built LookTake, a social platform where users share beauty, fashion, and hair looks, and anyone can "Take" that look onto their own photo using AI.I worked at a game company in Korea doing AI research — graphics, vision, and image generation. I built the in-house image gen service there. While reading generative AI papers, I came across virtual try-on research and had a realization: people will eventually shop by seeing products on themselves, not just browsing photos of models. I started experimenting on weekends. The early results were rough, but promising enough that I left my job.The core technical challenge: when you use image generation models to transfer someone's look onto another person, they either lose your identity or drop the style details. You ask it to transfer a specific makeup look and it gives you a completely different face, or an outfit loses its pattern and texture, or the hairstyle comes out flat. A prompt-only approach just isn't precise enou

indieai.directory• Feb 24, 2026• 1 min read

Show HN: Indie AI Directory – A Curated List of Indie AI ToolsI’m the maker of Indie AI Directory — a purpose-built catalog that highlights independent AI tools, startups, APIs, and experiments built by makers who aren’t backed by big funds or traditional marketplaces.What It IsIndie AI Directory is a searchable, categorized directory of AI tools and resources created by indie developers and solo founders. Each listing includes:A short description of the AI productA link to the tool or landing pageRelevant categories/tags for easier discoveryOptional founder credits and further linksThe site is designed to help:Discover emerging AI tools you may otherwise never findGive indie makers visibility beyond social feed postsConnect builders with early adopters and collaboratorsUnlike most directories that are either static lists or focus only on funded startups, this one prioritizes indie-built AI work.Why It MattersThere’s an explosion of AI tools every day, yet many interesting or useful projects — especially from solo builders — get buried in search

sowbot.co.uk• Feb 23, 2026• 1 min read

Show HN: Sowbot – Open-hardware agricultural robot (ROS2, RTK GPS)Sowbot is an open-hardware agricultural robot designed to close the "prototype gap" that kills most agri-robotics startups and research projects — the 18+ months spent on drivers, networking, safety watchdogs, and UI before you can even start on the thing you actually care about.The hardware is built around a stackable 10×10cm compute module with two ARM Cortex-A55 SBCs — one for ROS 2 navigation/EKF localisation, one dedicated to vision/YOLO inference — connected via a single ethernet cable.Centimetre-level positioning via dual RTK GNSS, CAN bus for field comms, and real-time motor control via ESP32 running Lizard firmware.Everything — schematics, PCB layouts, firmware — is under open licences. The software stack runs on RoSys/Field Friend (for teams who want fast iteration) or DevKit ROS (for teams already in the ROS ecosystem). The idea is that a lab in one country can reproduce another lab's experiment by sharing a Docker image.Current status: the Open Core brain is largely fabrica

news.ycombinator.com• Feb 23, 2026• 1 min read

Search Console MCP – Unified CLI for Google Search Console, Bing and GA4I built Search Console MCP — a CLI tool that lets you query Google Search Console, Bing Webmaster Tools, and GA4 from a single interface.The problem I kept running into: - Search data lives in one place. - Analytics in another. - Bing in yet another. And automation usually means stitching together brittle scripts or living in dashboards.So MCP does a few simple things:Unified CLI for GSC, Bing, and GA4Consistent query interface across providersScriptable output (JSON-friendly, automation-ready)Designed for pipelines, not dashboardsThe goal isn’t another UI. It’s composable search + analytics data you can pipe into whatever you want — notebooks, internal tools, reports, experiments.A few practical use cases: - Compare query performance across Google and Bing - Map queries → landing pages → conversions - Run automated reporting without touching a browserBuild custom attribution models outside GAIt’s still early, but the core philosophy is: Search data shouldn’t be trapped in web dashboar