Keyword - Moozonian Search

github.com• Feb 22, 2026• 1 min read

Show HN: Aethene – Open-source AI memory layerHey HN, I'm shipping my first open-source project and I'm pretty nervous about it. Aethene is an AI memory API – it gives your AI apps persistent memory. Store conversations, extract facts automatically, search semantically, handle contradictions gracefully. It works well thank most of the memory projects available on the market currently.Why I built this: I was building AI agents and kept running into the same problem – they forget everything. Every conversation starts from zero. I wanted something that could: - Auto-extract facts from conversations (not just store raw text) - Handle "user moved from SF to NYC" without keeping both as true - Search by meaning, not just keywords - Version everything (who said what, when) Tech stack: - TypeScript + Hono (fast, edge-ready) - Convex (real-time DB + vector search) - Gemini (embeddings + extraction) What it does: # Store memory curl -X POST /v1/content -d '{"content": "User loves hiking, lives in SF"}' # Recall naturally curl -X POST /v1/re

news.ycombinator.com• Feb 22, 2026• 1 min read

Ask HN: How do new blogs break the backlink–indexing loop?We run a small coding blog sharing our learning experience and I keep hitting the same loop: Google won't index most of our pages because the site has no authority. Authority comes from backlinks. But nobody links to a site that doesn't show up in search results. 110+ posts and almost nothing showing up on Google. Bing has started indexing them, but Google won't budge. Google indexed us in the beginning, just a bit, then after one of their updates we were destroyed and never re-covered.We've tried long-form guides, short tutorials, long-tail keywords, competitive keywords, niche topics with zero competition. I'm not sure anymore if content is the problem.We have no noindex issues, no missing sitemaps, no crawl errors — all the basic SEO boxes are checked. Site is submitted to Search Console, PageSpeed Insights performance is good (99% desktop, 85+ mobile).We started cross-posting to Medium, Dev.to, and Hashnode but we can't even be sure that's the right path. We've been posting consist

bing.com• Feb 21, 2026• 1 min read

Mastering essential SEO skills for content marketing successIn the digital landscape, mastering SEO skills is paramount for effective content marketing. Each component, from keyword research to backlink strategy, plays a crucial role in optimizing your online ...

super-launch.app• Feb 20, 2026• 1 min read

Show HN: Super Launch – A platform for you to get discovered and grow trafficI've been launching side projects for a while and realized that after the initial Product Hunt spike, there's not many places to get consistent visibility. So I built Super Launch — a curated directory where indie developers can list their startups and keep getting discovered.Here's what it offers:Submit your product and reach thousands of potential users looking for new tools AI-powered submission — auto-fill your listing with generated copy, logos, and screenshots Friend links — build reciprocal link partnerships with other makers to boost SEO SEO tools — analyze domain authority, keyword difficulty, and track your online presence Analytics dashboard — track views, clicks, and engagement for your listings It also automatically imports trending products from Product Hunt daily, so there's always fresh stuff to discover. Categories cover AI tools, SaaS, open source, affiliate programs, and more.Would love feedback from fellow indie hackers. What features would make this more useful for

mindweave.space• Feb 16, 2026• 1 min read

Show HN: Mindweave – AI-powered personal knowledge hub with semantic searchHi HN,I built Mindweave to solve a problem I kept running into — I'd save bookmarks, notes, and links across different apps, then never find them again when I actually needed them.Mindweave lets you capture notes, links, and files in one place. The interesting part is what happens after: - Semantic search — find content by meaning, not just keywords. "That article about improving deep work" finds it even if those words don't appear in the content. Powered by pgvector cosine similarity on Gemini embeddings. - AI auto-tagging — Gemini generates tags on save, so you don't have to organize anything manually. - Knowledge Q&A — ask questions about your saved content using RAG. Retrieves relevant pieces, feeds them as context to Gemini, returns a grounded answer. Stack: Next.js 15 (App Router, Server Actions), PostgreSQL 16 + pgvector, Google Gemini (text-embedding-004, 768d), Drizzle ORM, Auth.js v5, Tailwind/shadcn. Deployed on Cloud Run. A few things I found interesting while building this

aiwritebook.com• Feb 15, 2026• 1 min read

Show HN: AIWriteBook – AI tool to write, design, and publish full-length bookshey HN, I built this. AIWriteBook takes you from a book idea to a finished, publishable book (outline, chapters, cover, illustrations, audiobook, and KDP ready export) in one tool.You can try it right away: the free tools (title generator, plot generator, character creator) work without signing up. Also, free account gives you a full 7 chapter book, no credit card.I run a small publishing platform (NanoReads, 130+ published books, 341K readers). I kept seeing authors juggle 5 to 7 tools to publish one book: outliner, writing tool, Vellum ($250) for formatting, cover designer, TTS for audiobooks, keyword tool for Amazon. Nothing covers the full journey.How it works: you enter a title and basic info. AI generates a structured outline with characters (arcs, motivations, voice) and a chapter by chapter story bible (events, locations, twists). You edit the outline (most important step). AI writes chapters one at a time using only the relevant character data and chapter spec. You can upload

the-profanity-api.com• Feb 6, 2026• 1 min read

Show HN: Built a free moderation API after failing to find oneThe problem with existing content moderation:Every developer who's built profanity filtering knows the frustration. Traditional filters either flag "assistant" because it contains "ass," or miss obviously toxic content because they're just matching keywords. They can't tell the difference between "I'll destroy you in this game" (friendly trash talk) and an actual threat.How The Profanity API solves this:I built a 5-layer detection pipeline that analyzes content progressively:Blocklist (L0): Your custom blocklist for instant flaggingStatic (L1): Exact match against known profanityDictionary (L2): Semantic word matching that catches meaning, not just spellingSemantic (L3): Phrase-level understanding for context-aware detectionLLM (L4): Human-like judgment for edge casesThe key insight: layer disagreementWhen a word gets flagged by keyword matching but scores low on semantic analysis, that disagreement signals potentially innocent usage. Instead of defaulting to "block," we escalate to LL

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

My small SaaS got recommended my Google in the AI search overviewokay, so this is not so big to many of you , but today , i was just bored and tired of doing any marketing , cos nothing seemed to have been working. so i decided to do a search (i searched for quite a number of keywords) like error tracking for supabase , error tracking for next Js , but my saas didnt rank (if you dont know what im building , im working on a dead simple error tracker that notifies you when something breaks in prod, no bloated dashboards or config hell) , i built this cos sentry had too much noise and i just wanted something that lets me know when there's an issue in prod.so i decided to do a search on "error tracking for shipfast(by marc lou)" and guess what ?? Bugmail was the first recommended result , now i dont know how this worked, i mean ive done some seo and stuff but i wasnt expecting it , and now i feel like im back , which is funny cos i didnt make a sale , i didnt onboard a new user yet i feel like o have conquered , life of a founder , i guessi just wanted

news.ycombinator.com• Jan 26, 2026• 1 min read

Show HN: Klaus – a Claude Code native delegating agentic harnessGood afternoon everyone, spent like 2 weeks straight doom-scrolling Anthropic docs, Arxiv rabbit holes, and Claude blog posts till my eyes bled. Instead of shipping yet another wrapper that "reinvents" the wheel, I just vibe engineered this thing to max out Claude Code's native features. Klaus Baudelaire (https://github.com/blas0/klaus-baudelaire) basically: Routes agents (in parallel/sequence) with through keyword based scoring + prompt length (no fancy external router needed).Instead of trying to make agentic delegation deterministic by setting keyword variables as a "YOU MUST INVOKE X-AGENT IF THE USER SAYS DELEGATE", keywords = a score, a certain score = a specific system prompt that is injected into the session post UserPromptSubmit. You can read how this works more on the repo: (https://github.com/blas0/klaus-baudelaire)Delegates built-in agents + some redefined ones (broad general roles + hyper-specific tool callers) Some agents were built from/around Claude's exposed system pro

bloghunter.se• Jan 15, 2026• 1 min read

Show HN: BlogHunter – Generate and host SEO blog posts with AIHi HN,I'm the creator of BlogHunter. I built this because I have several side projects that needed SEO traffic, but I kept burning out trying to maintain active blogs for all of them. I wanted a "set it and forget it" solution that handled everything from generation to hosting.What it is: BlogHunter is a platform where you input topics/keywords, and it generates full-length, formatted blog posts using LLMs at scaleIt then hosts these blogs for you (no WordPress/Ghost required).It's definitely not for "thought leadership" pieces that require deep personal insight, but for top-of-funnel SEO content and filling out topic clusters, it's been working really well for me.Would love to hear your feedback on the generated content quality and the platform itself!Link: https://bloghunter.se

news.ycombinator.com• Jan 15, 2026• 1 min read

Ran a 5k queries on 50k documents to understand the file vs. vector RAG debatetitle: Ran a 5k queries on 50k documents to understand the file vs vector rag debateWas curious about the noise on file-based RAG as opposed to vector-RAG. So benchmarked Tantivy vs. Chroma to quantify the trade-offs in modern RAG pipelines. I used 5 datasets: CodeXGlue, MS MARCO, SQuAD, HotpotQA, and SciQ.- Indexing/Embedding was 76x slower for Vectors ($O(s)$ vs $O(ms)$). Query latency was 11x slower- In SciQ, keyword search outperformed vectors by 32% (MRR). Terms like "Mitochondria" are specific keys, not semantics. Vectors tended to drift toward semantically similar but factually incorrect answers.- In HotpotQA, I noticed a trend where vectors find the "answer" document but miss the "bridge" document because it isn't semantically similar to the prompt. Finding the right document is not the same as having enough context to prove the answer.The Data (MRR):| Dataset | Domain | Keyword | Vector | Winner || :--- | :--- | :--- | :--- | :--- || CodeXGlue | Code | 0.29 | 0.91 | Vector (+2

happymail.tech• Jan 3, 2026• 1 min read

Show HN: Happymail – Make email great againEight years ago, I was job hunting and felt embarrassed by my Gmail address. I tried registering firstname.lastname — taken everywhere. So I thought: "I'm in IT, I'll set up my own domain with my own IMAP/SMTP. How hard could it be?" A lot went wrong. Forgotten renewals. rocky DNS mistakes. I ended migrating toward Google Workspace, but in the end it felt overkill, having a subscription there plus the whole registrar subscription, and the whole GAFAM sticker on it. Moreover, the final price was way too high for me at the time. Six months ago, someone approached me and related to that issue, then said: "What if we automated all of that? Want to build it together?" I said yes. So Happymail was born. Anecdotal, My wife did found this name, excellent one! You search for an available email address using simple keywords (like your name), pick one, and you're set up in minutes. That's it. Zero config – works instantly with Outlook, Thunderbird, any mail app. Just email + password. You own you

happymail.tech• Dec 31, 2025• 1 min read

Show HN: Happymail – We made email simple againEight years ago, I was job hunting and felt embarrassed by my Gmail address. I tried registering firstname.lastname — taken everywhere. So I thought: "I'm in IT, I'll set up my own domain with my own IMAP/SMTP. How hard could it be?"A lot went wrong. Forgotten renewals. rocky DNS mistakes. I ended migrating toward Google Workspace, but in the end it felt overkill, having a subscription there plus the whole registrar subscription, and the whole GAFAM sticker on it. Moreover, the final price was way too high for me at the time.Six months ago, someone approached me and related to that issue, then said: "What if we automated all of that? Want to build it together?" I said yes.So Happymail was born. Anecdotal, My wife did found this name, excellent one!You search for an available email address using simple keywords (like your name), pick one, and you're set up in minutes. That's it.Zero config – works instantly with Outlook, Thunderbird, any mail app. Just email + password.You own your data

news.ycombinator.com• Dec 23, 2025• 1 min read

80.1 % on LoCoMo Long-Term Memory Benchmark with a pure open-source RAG pipelineI just pushed the current SOTA on the LoCoMo long-term memory benchmark for agents: 80.1 % accuracy using only: -BGE-large-en-v1.5 (1024d) + FAISS-Custom “MCA” gravitational ranking (keyword coverage + importance + frequency)-BM25 sparse retrieval-Direct Cross-Encoder reranking (bge-reranker-v2-m3) on the full union (~120-150 docs)-Gpt-4o-mini only for final answer generation and judging (everything else is open weights or classic)Repo: https://github.com/vac-architector/VAC-Memory-System Key tricks that finally broke 80% :-MCA-first filter (coverage ≥ 0.1 → top-30) — catches exact-keyword questions early-Feeding the entire union straight into Cross-Encoder (112–135 documents) instead of pre-filtering-Proper query instruction for BGE-large (the classic “Represent this sentence for searching relevant passages”)The whole pipeline runs in < 3s per query on a single RTX 4090. LoCoMo is currently the hardest public long-term memory benchmark (5.880 real human–agent conversations, multi-hop,

github.com• Dec 22, 2025• 1 min read

Show HN: SiteIQ–Automated security tests for LLM APIs(prompt inj,jailbreaks,DoS)Hi HN, I'm an 11th grader learning cybersecurity. I built SiteIQ, an open-source security testing tool that includes 36 automated tests specifically for LLM-powered APIs. Why this matters: Most security scanners focus on traditional web vulnerabilities (SQLi, XSS). But if you're shipping an LLM-powered feature, you need to test for prompt injection, jailbreaks, and LLM-specific DoS attacks. I couldn't find a good open-source tool for this, so I built one. What it tests: - Prompt Injection – Direct, indirect, RAG poisoning - Jailbreaks – DAN-style, persona continuation, "grandma exploit", fictional framing - Encoding Bypass – Base64, ROT13, nested encodings, custom ciphers - Refusal Suppression – Attacks that block the model from saying "I cannot" - Hallucination Induction – Tries to get fake library names/CVEs (package hallucination attacks) - ASCII Art Jailbreaks – Visual text that bypasses keyword filters - Recursive Prompt DoS – Quine-style prompts, Fibonacci expansion, tree generat

news.ycombinator.com• Dec 20, 2025• 1 min read

Built a content system that 6x'd traffic. Turning it into product. Want to test?Hey YCJumping in here because we've been building something we think is pretty cool and are looking for some founders to test it out and give us some honest feedback.We're technical founders. We hated content marketing. But we needed organic growth, so we built a cohesive system to handle it for us.Researched trending keywords & competitors. Proactively queued topics. Drafted SEO & LLM optimized content. Published directly to CMS. Tracked what ranked. Doubled down on what worked.It's led to 6,000% traffic growth in 6 months for us.Now we're packaging that entire workflow into Averi — a content engine for founders who'd rather be focused on shipping product than writing blogs.What it does: → Researches and queues topics for you → Drafts content optimized for Google + LLM citations → Publishes to your CMS → Tracks rankings and performance → Recommends what to create nextYou approve (and edit collaboratively with your team if you'd like). It runs. Visibility compounds.We're looking for ~5

githired.tech• Dec 7, 2025• 1 min read

Show HN: GitHired – Find Your Next 10x EngineerHey HN - today I’m launching GitHired. A hiring platform that ranks developers based on what they actually build — not what they claim on a PDF. It’s called GitHired, and here’s the core idea: GitHub > ResumesInstead of trusting “proficient in React” bullet points, we analyze a candidate’s actual GitHub: their real tech stacktheir most complex projectshow active they arewhat kinds of contributions they makewhich skills match your job descriptionand yes, we detect fake “green square farming.”Why we built thisBecause engineering hiring is broken. Resumes are inflated. Activity charts are gamed. ATS filters reward keywords, not skill. And companies end up spending weeks interviewing the wrong people. Developers deserve a fairer signal. Recruiters deserve to know who can actually build things. And teams deserve better than guessing.We’re live today If you’re hiring engineers - or you are an engineer and want to see your “real” GitHub profile - try it. (No waitlist. No paywall surprise. Jus

news.ycombinator.com• Dec 3, 2025• 1 min read

Show HN: ReddBoss – Turn Reddit into your lead generation machine with AII built ReddBoss after watching founders spend hours manually searching Reddit for potential customers. The reality? By the time you find a good lead, 10 competitors already replied. Here's how it works: 1-Paste your business URL → AI analyzes your site and identifies relevant subreddits + pain points you solve 2-Get instant lead discovery → AI scans Reddit for posts matching your niche, ranked by intent & buying signals 3-On-demand monitoring → Check anytime for questions, complaints, and opportunities in your space 4- One-click replies → AI drafts 3 reply variants + personalized DM for each lead 5- Viral post generator → Turn your customer stories into Reddit posts trained on top 10 viral posts in your niche The AI uses semantic matching on pain points (not just keyword search), so you find leads even when they don't use your exact keywords. Real results: Users average 900+ qualified leads/month. One user went from 0 to 10K website visitors using ReddBoss. Pricing: $25/mo (Pro), $59/

githits.com• Dec 1, 2025• 1 min read

Show HN: GitHits – Code example engine for AI agents and devs (Private Beta)It has been almost 10 years since I started the opencv-python packaging project. Scaling it to more than 100 million downloads as a side project showed me how much ease of installation and proper package distribution matter to users. It gave the computer vision ecosystem a noticeable boost. Now I have a new idea that I hope can help even more people across the broader software engineering world.A while ago, I realized I kept giving the same advice to teammates and friends when they ran into a programming issue they couldn't easily solve: go to GitHub and look at how others solved it.There is a huge pool of underused example material across open source. Most problems developers face are not that novel. With enough digging, someone has already solved the same issue in code or at least posted a workaround to an issue or discussion thread.The trouble is that GitHub search is limited and works only when you already know the right keywords. You also need the time and patience to go through a