The Hacker news

Article URL: https://theconversation.com/how-wind-and-solar-power-helps-keep-americas-farms-alive-260657 Comments URL: https://news.ycombinator.com/item?id=44863495 Points: 1 # Comments: 0

Article URL: https://wikimediafoundation.org/news/2025/08/11/wikimedia-foundation-challenges-uk-online-safety-act-regulations/ Comments URL: https://news.ycombinator.com/item?id=44863487 Points: 1 # Comments: 0

Article URL: https://www.optimade.org/ Comments URL: https://news.ycombinator.com/item?id=44863454 Points: 1 # Comments: 0

Article URL: https://en.wikipedia.org/wiki/The_Mother_of_All_Demos Comments URL: https://news.ycombinator.com/item?id=44863453 Points: 1 # Comments: 0

Anyone here using BICC extracts or BI Publisher exports to get Fusion data into a warehouse or Power BI? We’ve been struggling with BICC-based data pipelines for a while – schema changes, missing columns in PVOs, random failures, and just the general pain of scheduling + managing all that staging. I recently came across an approach that skips extracts entirely and connects directly to Oracle Fusion without using BICC, OIC, or file staging. It also works with Power BI, Fabric, and ADF. There’s a deep-dive session coming up on Aug 19 (9-10 AM PST) that walks through how this setup works, with live demos. It looks like it could drastically cut down setup time and make the pipelines more resilient. Shankar Radhakrishnan, the guy behind BI Connector and Skedler, is leading it. He’s been working on Fusion and Oracle integrations for over a decade. If you’re stuck in extract hell or curious about direct-access options, It will be worth tuning in. More info here https://watch.getcontrast.io/register/bi-connector-from-fusion-to-warehouse-without-the-headaches?utm_source=devbloggin&utm_medium=organic&utm_campaign=webinaraug Comments URL: https://news.ycombinator.com/item?id=44863449 Points: 1 # Comments: 0

Article URL: https://understoryai.substack.com/p/how-we-fixed-ais-broken-promise Comments URL: https://news.ycombinator.com/item?id=44863431 Points: 1 # Comments: 0

Article URL: https://kiranet.org/posts/commercial-homeserver/ Comments URL: https://news.ycombinator.com/item?id=44863423 Points: 1 # Comments: 0

Article URL: https://en.wikipedia.org/wiki/Stewart_Brand Comments URL: https://news.ycombinator.com/item?id=44863420 Points: 1 # Comments: 0

Article URL: https://pricingpages.design/ Comments URL: https://news.ycombinator.com/item?id=44863409 Points: 3 # Comments: 0

Article URL: https://elite-ai-assisted-coding.dev/p/agentic-coding-fasthtml-app-evals Comments URL: https://news.ycombinator.com/item?id=44863401 Points: 1 # Comments: 0

I’ve been experimenting with LLMs + Python/Jupyter + Agent Frameworks to see if an AI “team” can handle the kind of exploratory business data analysis you would normally give to a junior analyst.It’s not for “give me the top 10 campaigns by CTR.”It’s for: – Predict next quarter’s sales from 2 years of data – Identify profit drivers in Amazon sales and model how to increase net profit by 10% – Build custom customer cohorts from sales + activity dataHow it works (high-level / happy to share technical learnings/notes based on comments): – Planner agent interprets the business question, breaks it into steps, interpret python execution results – Coding agent runs pandas / matplotlib / other libraries inside an isolated Docker container running Jupyter – Report agent creates formatted PDF reports/narrativesEarly learnings – With a good prompt, it can do much of what a 1–2 year analyst could; – Industry-specific system prompts (context) improves outcomeHere is a screencast of how an exploration looks like: https://youtu.be/oMkgj1e1cxMThis is the read-only version of the exploration: https://app.askprisma.ai/share/public_0kjM3bN3_UAVyfG_3s3kaQI would love feedback on: – Which industries would find daily, sticky use? – Whether you would prefer cloud, self-hosted, or dedicated instance? – How you should price something like this? – How soon should I focus on a specific vertical or ecosystem (eg: shopify, or a specific industry)P.S: I’m open to collaborations, especially with folks who have deep industry expertise and believe a system like AskPrisma will serve the industry well. Email: akshay [at] askprisma.ai Comments URL: https://news.ycombinator.com/item?id=44863394 Points: 1 # Comments: 0

Hi HN – We’re Hoshang & Vishal from Airbook (https://www.airbook.io) – An AI native workspace to do all your analytics work in one place.Airbook automatically syncs, cleans and centralizes all your data scattered across HubSpot, Amplitude, GA4, Zendesk, Stripe, Postgres, Snowflake and more – You can then use Airbook AI to build powerful interactive reports and unified dashboards.Here’s a demo – https://youtu.be/hFp9J98p4_wOur AI is schema-aware -It understands your fields, relationships, and can auto-build queries across sources with context. You can join sources like HubSpot + Salesforce + Snowflake for example. Every query it generates is editable, so you always stay in control. From there, you can prompt it build a dashboard for you or trigger workflows to push data into Customer IO, Clay, and more.We built Airbook after years of leading data and ops at high-growth startups, where every question → insight → action flow involved bouncing between ETL scrips, CSV exports, warehouse queries, SQL Notebooks, BI tools, docs, decks and more. GTM, Ops, and Data teams were chasing the same answers, but each lived in totally different tools. We’ve now seen dev workflows evolve fast – Cursor, Claude, Copilot – but analytics still feels like it’s stuck.Airbook is the common meeting point: one place to explore, present, and activate data, using interfaces you already know how to use – SQL, point‑and‑click, and now AI.Three ways to work:1. SQL IDE for technical folks 2. No-code builder for business users 3. AI assistant for bothAnalytics and Ops teams use Airbook for deep dives, data exploration, quick answers, and cross-functional reporting. And because it’s collaborative, business teams can self-serve insights using the no-code builder too.Teams also use Airbook to build segments by joining data from tools like Postgres, Amplitude, HubSpot and then trigger a workflow to push these segments to growth tools (Customer IO, Clay etc.) and launch campaigns instantly.Here are some examples of what you can ask our AI:Help me build a full funnel report from Traffic (GA4) → Leads (HubSpot) → Opportunities (SFDC) → Revenue (Stripe) with monthly conversion rates | Funnel Reporting-> Traffic spiked in December, help me identify which sources caused this and whether it led to increased leads and opportunities | Exploration-> Build a segment of enterprise trial signups who created at least 1 project, requested pricing info, and remain in the ‘Qualification’ stage in HubSpot | Segmentation-> Create customer health scores by combining revenue, support interactions and product usage to identify potential churn risks | Scoring ModelsWe just launched a freemium plan – connect to a database and start using Air AI. You also get a 14-day free trial with full access. And with our MCP, you can build on Airbook or fetch insights straight from your favorite AI tool.Signup here – https://app.airbook.io/signupYour feedback shapes our roadmap so over to you now – what’s the first report or workflow you’d build with Air AI, how smooth (or bumpy) was the setup, and what could we do better? Share your honest thoughts – friction points, dream features, must‑have integrations – in the comments. We’re super excited to hear from you! Comments URL: https://news.ycombinator.com/item?id=44863393 Points: 3 # Comments: 0

Article URL: https://businessofsoftware.org/talks/data-rich-insight-poor/ Comments URL: https://news.ycombinator.com/item?id=44863388 Points: 1 # Comments: 0

Article URL: https://www.npr.org/2025/08/08/nx-s1-5492413/las-vegas-trump-summer-travel-decline Comments URL: https://news.ycombinator.com/item?id=44863386 Points: 1 # Comments: 0

Article URL: https://eli.thegreenplace.net/2018/measuring-context-switching-and-memory-overheads-for-linux-threads/ Comments URL: https://news.ycombinator.com/item?id=44863381 Points: 1 # Comments: 0

Article URL: https://old.reddit.com/r/CyberStuck/comments/1mmbq9w/lets_go_ahead_and_deactivate_here_looks_like_a/ Comments URL: https://news.ycombinator.com/item?id=44863380 Points: 3 # Comments: 4

Article URL: https://www.universetoday.com/articles/lucy-could-visit-an-additional-sub-km-asteroid-with-a-course-correction Comments URL: https://news.ycombinator.com/item?id=44863367 Points: 1 # Comments: 0

Article URL: https://magicnode.ai/ Comments URL: https://news.ycombinator.com/item?id=44863358 Points: 1 # Comments: 1

Article URL: https://www.rollc.at/posts/2025-08-11-port-numbers-for-dev-servers/ Comments URL: https://news.ycombinator.com/item?id=44863350 Points: 1 # Comments: 0

Article URL: https://quexxon.net/articles/task-files/ Comments URL: https://news.ycombinator.com/item?id=44863347 Points: 1 # Comments: 0