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Top stories from https://news.ycombinator.com (with 100+ score) Contribute to the development here: https://github.com/phil-r/hackernewsbot Also check https://t.me/designer_news Contacts: @philr
Nextcloud: Open-Source Cloud Apps (Score: 150+ in 5 hours)
Link: https://readhacker.news/s/6eY8Q
Comments: https://readhacker.news/c/6eY8Q
It is hard to recommend Google Cloud (Score: 151+ in 4 hours)
Link: https://readhacker.news/s/6eY3m
Comments: https://readhacker.news/c/6eY3m
What happened to the Japanese PC platforms? (Score: 150+ in 8 hours)
Link: https://readhacker.news/s/6eXt2
Comments: https://readhacker.news/c/6eXt2
FCC wants all phones unlocked in sixty days, AT&T and T-Mobile aren't so keen (Score: 153+ in 18 hours)
Link: https://readhacker.news/s/6eVSt
Comments: https://readhacker.news/c/6eVSt
Sanding UI (Score: 155+ in 4 hours)
Link: https://readhacker.news/s/6eXcc
Comments: https://readhacker.news/c/6eXcc
Omega-3 intake counteracts symptoms of anxiety and depression in mice (Score: 152+ in 4 hours)
Link: https://readhacker.news/s/6eWGM
Comments: https://readhacker.news/c/6eWGM
Kamal Proxy – A minimal HTTP proxy for zero-downtime deployments (Score: 152+ in 10 hours)
Link: https://readhacker.news/s/6eVYg
Comments: https://readhacker.news/c/6eVYg
Forget ChatGPT: why researchers now run small AIs on their laptops (Score: 154+ in 4 hours)
Link: https://readhacker.news/s/6eWiT
Comments: https://readhacker.news/c/6eWiT
Reactive Relational Algebra (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6eTXS
Comments: https://readhacker.news/c/6eTXS
Ultra high-resolution image of The Night Watch (Score: 153+ in 4 hours)
Link: https://readhacker.news/s/6eW5A
Comments: https://readhacker.news/c/6eW5A
Critical Exploit in MediaTek Wi-Fi Chipsets: Zero-Click Vulnerability (Score: 150+ in 14 hours)
Link: https://readhacker.news/s/6eV8A
Comments: https://readhacker.news/c/6eV8A
Tō Reo – A Māori Spellchecker (Score: 150+ in 22 hours)
Link: https://readhacker.news/s/6eTKd
Comments: https://readhacker.news/c/6eTKd
Discord Reduced WebSocket Traffic by 40% (Score: 150+ in 14 hours)
Link: https://readhacker.news/s/6eUFm
Comments: https://readhacker.news/c/6eUFm
I Like Makefiles (Score: 152+ in 4 hours)
Link: https://readhacker.news/s/6eVzd
Comments: https://readhacker.news/c/6eVzd
Show HN: Sourcetable – AI Spreadsheet and Data Platform (Score: 151+ in 1 day)
Link: https://readhacker.news/c/6eQkL
Hi HN! I’m Eoin, founder of Sourcetable (https://sourcetable.com).
Sourcetable is an AI-native spreadsheet that syncs with all your data. Users pair with an AI copilot that helps them do their spreadsheet work, as well as more database-centric analysis and SQL.
Soucetable syncs with databases including Postgres, MySQL, and MongoDB, and over 100+ business applications including Stripe, Zendesk, Hubspot, Quickbooks and Google Analytics. That data is available in a spreadsheet, and any models you build automatically update in near-real-time as new data flows in. The core primitives are AI + spreadsheet + data sync + storage + compute.
If you want to play with Sourcetable today, the easiest way is to upload a CSV and start asking questions.
Who is it for?
Sourcetable is for analysts, operators and finance folk doing data-centric work in a spreadsheet. Sourcetable’s spreadsheet-based AI assistant understands workbook range selection and can adjust scope context to the datasets you are working with. You can talk directly to your database and SaaS integrations, which is great for analysis, data search and retrieval, SQL writing & editing (including writing joins across different datasets), and automatic chart creation.
Niching down, if you work in operations at a <50 person startup or SMB and your company relies on a Postgres or MySQL database, Sourcetable is an affordable reporting tool with turnkey data infrastructure that doesn’t require code or engineers to set up.
Spreadsheets are the most used analytical tool on the planet. AI is a platform shift with broad applications. We are staying open-minded about users and use cases since everything is so new.
Backstory:
I spent ten years working in de-facto operations and technical roles at startups. Sourcetable draws from that experience of needing better data tooling inside spreadsheets, and constantly hacking ad hoc solutions to fill the gap. Andrew (CTO / co-founder) previously had a deep learning company and was initially drawn to the idea that Sourcetable could be an operating system for the web. We’re both Aussie expats in the Bay Area, which is how we met. Internally, we think of Sourcetable as an application platform, with AI applications being a useful and interesting place to focus.
Features & Use Cases:
Talk to your CSV files, spreadsheets, integrations, and datasets using LLMs.
AI + data work: Text-to-SQL, search and retrieval from databases, LLM-based data analysis. (This is an entirely different experience to what Copilot/Gemini & Excel/Sheets provide, since they are thin workbooks and not data platforms.)
AI + spreadsheet work: formula assist, workbook analysis, data cleaning, chart creation, error handling, summarization, chat, etc.
Automated reporting: data is synced, reports you build stay up to date.
No-code data access: give the business team safe database access so they will leave you alone!
Centralizing data for cross-channel reporting. (e.g. Postgres + Stripe + Mailchimp)
Analyzing large CSV files: Sourcetable can handle multi-gigabit files. (Google Sheets can’t handle large data and the experience in Excel is rather cumbersome.)
Technical Details:
Sourcetable was built to be fast. It was also built to scale.
AI: LLama 3 (via Groq), Claude, GPT-4o, LiteLLM, custom LLMs
Frontend: DuckDB, React, ShadCN, AntV / Bizcharts, Plotly, CodeMirror, Hookstate
Backend: DuckDB, Python, Cassandra, Redis, NGINX, Cloudflare
Data Eng & Transformations: Fivetran, DBT, Apache Arrow, SQLglot
Distributed Computing & Scaling: Daft, Ray, Cloud Formation
Other: Linux Namespaces, Dill (U.Queensland)
A huge thank you to the open source community, and a special shout-out to DuckDB for being so damn fast. Thank you also to Groq & Anthropic for the rate limit increases in time for this ShowHN post!
–
Feedback:
Product feedback is welcome! eoin@sourcetable.com
Applied Mathematical Programming (Score: 150+ in 15 hours)
Link: https://readhacker.news/s/6eWZM
Comments: https://readhacker.news/c/6eWZM
WP Engine is not WordPress (Score: 152+ in 6 hours)
Link: https://readhacker.news/s/6eXEw
Comments: https://readhacker.news/c/6eXEw
They stole my voice with AI (🔥 Score: 153+ in 1 hour)
Link: https://readhacker.news/s/6eXVU
Comments: https://readhacker.news/c/6eXVU
Scaling up linear programming with PDLP (Score: 151+ in 11 hours)
Link: https://readhacker.news/s/6eWpQ
Comments: https://readhacker.news/c/6eWpQ
How do archivists package things? The battle of the boxes (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6eVag
Comments: https://readhacker.news/c/6eVag
Porsche's idea for a six-stroke internal combustion engine (Score: 150+ in 13 hours)
Link: https://readhacker.news/s/6eVPZ
Comments: https://readhacker.news/c/6eVPZ
The Collapse of Self-Worth in the Digital Age (Score: 151+ in 5 hours)
Link: https://readhacker.news/s/6eWdD
Comments: https://readhacker.news/c/6eWdD
Working in the office 5 days/week to build company culture is a myth: PwC report (Score: 150+ in 14 hours)
Link: https://readhacker.news/s/6eVu6
Comments: https://readhacker.news/c/6eVu6
Federal civil rights watchdog sounds alarm over Feds use of facial recognition (Score: 150+ in 21 hours)
Link: https://readhacker.news/s/6eUvc
Comments: https://readhacker.news/c/6eUvc
MemoRAG – Enhance RAG with memory-based knowledge discovery for long contexts (Score: 150+ in 21 hours)
Link: https://readhacker.news/s/6eU7k
Comments: https://readhacker.news/c/6eU7k
Show HN: Inngest 1.0 – Open-source durable workflows on every platform (Score: 151+ in 17 hours)
Link: https://readhacker.news/s/6eUBk
Comments: https://readhacker.news/c/6eUBk
Hi HN! I’m Tony, one of the co-founders of Inngest (https://inngest.com/)
Inngest is an open-source durable workflow platform that works on any cloud. Durable workflows are stateful, long running step functions written in code, which automatically retry on failure. It abstracts everything about queues, event streams and state for you, letting you focus on code. Some examples of uses: managing stateful AI chained step functions; managing search/rag indexes and data pipelines; integrations and webhooks; billing and payment flows.
Technical details: unlike other solutions, we put lots of effort into designing our SDK’s step.run APIs to make them extremely easy to use — developer experience is the most important thing for us.
We had to design and build our own queueing system to work with multi-tenancy, batching, and debouncing, and we’re iterating on this as we move to FoundationDB. It’s largely all Go in the backend, with a bunch of caching, clickhouse, event streams, and coordination on our behalf. Workers are shared nothing, and run based off of the queue and execution state.
We did a post last year as we iterated on our TS SDK. The product has changed a lot since then and wanted to show the community what’s changed as we reach 1.0:
* Golang, Java, and Python SDKs with cross-language function invocation (across clouds, too)
* Multi-tenant aware flow control (concurrency, throttling, debounce)
* Batching, grouping many events into a single function call
* Much improved dashboard, with tracing and metrics built in
* Advanced recovery tools like function replay, temporary pausing, bulk cancellation (with optional expressions). No more dead letter queues!
* Branch deploys built in, with staging env support out of the box
* Full local testing with production parity
Apple Shares Full iPhone 16 and iPhone 16 Pro Repair Manuals (Score: 150+ in 10 hours)
Link: https://readhacker.news/s/6eVpL
Comments: https://readhacker.news/c/6eVpL
Three Mile Island nuclear plant restart in Microsoft AI power deal (Score: 150+ in 18 hours)
Link: https://readhacker.news/s/6eTLV
Comments: https://readhacker.news/c/6eTLV
Open source maintainers underpaid, swamped by security, and going gray (❄️ Score: 150+ in 2 days)
Link: https://readhacker.news/s/6eLNH
Comments: https://readhacker.news/c/6eLNH
Qualcomm Wants to Buy Intel (Score: 151+ in 8 hours)
Link: https://readhacker.news/s/6eV4t
Comments: https://readhacker.news/c/6eV4t