Search Engine for Ecommerce Websites
Drive Sales With a Smart Site Search
What it does
Prophetes Insight is a standardized ecommerce search SaaS, evolved from a 9‑month, production‑proven system built for Aosom, a global cross‑border ecommerce leader. Unlike basic keyword search, it combines intent recognition, entity extraction, category prediction, synonym and typo handling, and multi‑strategy recall with business‑aware ranking. Merchants can boost, pin, or block items, balance relevance with margin and inventory. It helped increase search CTR by 30%+ and search‑led CVR.
Does a similar job
all alternatives →
AI Search ConsoleJul 2026 · search-console.ai · ▲500Prompt analytics and citation mapping for AI search
- BKBloomSearch – Keyword search with hierarchical Bloom filters2025 · github.com · ▲66
Hey HN! I got nerd-sniped by Bloom Filters this weekend, specifically for searching datasets with high "cardinality" (number of unique items). They're an _amazing_ data structure that, at a fixed size, tracks potential set membership. That means unlike normal b-tree indexes, they don't grow with the number of unique items in the dataset. This makes them great for "needle in a haystack" search (logs, document) as implementations like VictoriaMetrics and Bing's BitFunnel show. I've used them in the past, but they've never been center-stage in my projects. I wanted high cardinality keyword…
Convertopia – Smart Ecommerce SearchJun 2026 · innovadeltech.com · ▲2AI-powered site search that turns browsers into buyers
- TATako, a Knowledge Search API2025 · trytako.com · ▲22
I'm Bobby, CTO of Tako. We just launched our Knowledge Search API. Our API takes natural-language prompts like "Nvidia M&A history" and returns visual answers and grounding text sourced from real-time, structured data (example: https://trytako.com/card/YHloo1Ea7GRnBr_s5r6s/). Most AI systems can’t effectively reason about real-time, structured data. One reason is access: a lot of the most valuable info is trapped in databases web crawlers can't index. Google solves this with a team of 2k+ engineers that ingest data (stocks, sports, etc) into a proprietary Knowledge…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2026
the whole month →
Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
