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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
    2. Developers
    3. Bowl of Data

    Bowl of Data

    Bowl of Data is a free weekly digest at the intersection of AI and machine learning, cybersecurity, blockchain and crypto, and software engineering. It reads and filters hundreds of sources, then publishes human-reviewed summaries so readers can stay current in minutes rather than hours.

    Visit Website

    At a Glance

    1Tool Listed
    5Products
    8Capabilities
    Discussions
    Focus Areas
    Agent Frameworks
    Multi-agent Systems
    Local Inference
    Connect
    Latest News
    Week 39 issue: 17 articles, 10 model releases, and 5 papers, including coverage of Claude Opus 5.5, Grok 4.7, GPT-6, and new agent and research developments.21–25 September 2026
    Week 38 issue: 20 articles, 9 model releases, and 5 papers, including NVIDIA Nemotron updates, Salesforce Koa, OpenAI Astra for Law, and Amazon Bedrock capabilities.14–18 September 2026
    Markets
    • Technology professionals and readers following AI, cybersecurity, blockchain, and software engineering
    • Developers building multi-agent LLM applications
    • Brands and publishers that want a white-label niche newsletter
    • Teams needing confidential competitor and market intelligence

    AI Tools by Bowl of Data

    (1)
    View Maki
    Maki tool icon

    Maki

    Python Multi Agent LLM Framework

    Agent FrameworksMulti-agent SystemsLocal Inference

    Discussions

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    Be the first to start a discussion about Bowl of Data

    Latest News

    21–25 September 2026

    Week 39 issue: 17 articles, 10 model releases, and 5 papers, including coverage of Claude Opus 5.5, Grok 4.7, GPT-6, and new agent and research developments.

    bowlofdata.net
    14–18 September 2026

    Week 38 issue: 20 articles, 9 model releases, and 5 papers, including NVIDIA Nemotron updates, Salesforce Koa, OpenAI Astra for Law, and Amazon Bedrock capabilities.

    bowlofdata.net
    7–11 September 2026

    Week 37 issue: 15 articles, 5 model releases, and 5 papers, including DeepSeek-V4.1-Flash, Step 3.7 Flash, and GPT-6 Astra coverage.

    bowlofdata.net
    10/01/2004

    Week 36 issue: 20 articles, 6 model releases, and 5 papers, including coverage of NVIDIA Nemotron 3 Ultra and GPT-6 Astra safety documentation.

    bowlofdata.net

    Products & Services

    5
    Bowl of Data weekly digest

    A free weekly, human-reviewed digest covering AI and machine learning, cybersecurity, blockchain and crypto, and software engineering. Issues include selected stories with TL;DRs and longer write-ups, plus independently curated papers and model releases.

    Maki

    An MIT-licensed Python framework for multi-agent LLM applications. It supports local models through Ollama, hosted OpenAI, Anthropic and OpenRouter backends, Hugging Face Transformers, role-based agents, orchestration, workflows, tool calling, memory, plugins, and distributed serving.

    Newsletter on Demand - Essential

    A done-for-you, white-label weekly newsletter configured to a customer's niche, sources, topics, and brand voice, with TL;DR and long-form story write-ups and delivery on the customer's platform.

    Newsletter on Demand - Signature

    The Essential package plus a weekly podcast episode, research and model-watch sections, multi-channel delivery through site, Substack and RSS, and priority edit turnaround.

    Market Position

    Bowl of Data positions itself between a conventional newsletter agency and an unfiltered AI news feed: Maki automates large-scale source gathering, reading, ranking, and drafting, while humans make the final editorial decisions. Its differentiators are broad cross-domain coverage, local/open-model processing for privacy and lower operating cost, multi-format delivery, and a white-label service that leaves the audience and brand with the customer. In the agent-framework market, Maki is a young, deliberately small local-first alternative to larger frameworks, emphasizing portability across local and hosted backends and default security guardrails.

    Leadership

    Founders

    MP

    Marco Parrillo

    Bowl of Data's Creator; the official team page says he built Maki from scratch to power the newsletter's intelligence layer and combines engineering with technology storytelling. His profile is linked from the official site as Marco Parrillo, PhD.

    LL

    Luigi Laura

    Bowl of Data's Visionary; the official team page says he shapes the publication's direction and narrative focus. His official-site profile link identifies him as Luigi Laura; broader search results associate that name with academic work in algorithms and artificial intelligence in Italy.

    Executive Team

    MP

    Marco Parrillo

    Creator

    The official team page credits him with building Maki from scratch and describes him as an engineer and storyteller who turns complex AI topics into readable stories.

    LL

    Luigi Laura

    Visionary

    The official team page says he shapes Bowl of Data's vision and narrative direction, asking the questions that determine which topics become stories.

    Founding Story

    Bowl of Data was created around the premise that staying current with technology should take minutes, not hours. Its initial vision was to read hundreds of articles, papers, release notes, and trend signals each week, remove the noise, and deliver a concise, human-reviewed signal across four technology beats. The publication's own pipeline, Maki, was built to automate the research and summarization workload while the team retains editorial control.

    Business Model

    Revenue Model

    The core Bowl of Data digest is free and distributed on its website and through Substack. The services business sells white-label newsletter-as-a-service on a flat monthly fee scoped to niche, sections, and delivery requirements; the Intelligence package is custom per team.

    Target Markets

    Industries & Segments
    • Technology professionals and readers following AI, cybersecurity, blockchain, and software engineering
    • Developers building multi-agent LLM applications
    • Brands and publishers that want a white-label niche newsletter
    • Teams needing confidential competitor and market intelligence
    Use Cases
    • Keeping technology professionals current on important AI, security, blockchain, and engineering developments
    • Rapidly scanning weekly model releases and research papers
    • Building private, local-first multi-agent LLM applications
    • Running a branded, done-for-you niche newsletter without operating the sourcing and editorial pipeline
    • Competitor and market intelligence briefs for teams
    • Publishing a companion technology podcast from the same editorial selection

    History & Milestones

    2026

    The newsletter archive records 21 weekly issues in 2026, with the archive beginning at Week 19 and continuing through Week 39.

    2026

    Bowl of Data launched or made public its Maki repository, an MIT-licensed Python multi-agent LLM framework maintained under the BowlOfData GitHub organization.

    2026

    The publication expanded beyond the web digest to a Substack email, a Spotify podcast, and a YouTube channel; the site describes each issue as available across those channels.

    2026

    Bowl of Data introduced Newsletter on Demand, a white-label newsletter-as-a-service offering with optional podcast and private intelligence brief packages.

    Key Capabilities

    8
    Human review and editorial curation after automated sourcing, reading, ranking, and summarization
    Coverage of AI and machine learning, cybersecurity, blockchain and crypto, and software engineering
    Separate curation streams for stories, research papers, and model releases
    Maki scans RSS feeds, Hacker News, Reddit, GitHub, Lobste.rs, arXiv, Hugging Face, AI-lab announcement pages, Google Trends, Reddit, and GitHub trend signals
    Local/open-model processing on Bowl of Data's own hardware, intended to avoid third-party model logging and per-token API costs
    Maki supports role-based agents, multi-agent orchestration, dependency-aware workflows, retries, parallel execution, checkpoint/resume, memory, native tool calling, and distributed serving

    Integrations & Partnerships

    Platform Integrations

    • Website at bowlofdata.net
    • Substack
    • Spotify
    • YouTube
    • Maki local Ollama backend
    • Maki hosted OpenAI, Anthropic, and OpenRouter backends
    • Maki Hugging Face Transformers backend
    • Maki supports deployment on macOS, Linux, and Windows and can expose agents over HTTP

    Key Partnerships

    Substack distribution for the email digest
    Spotify distribution for the companion podcast
    YouTube distribution for the companion video channel

    Connect

    Website
    bowlofdata.net/
    GitHub
    BowlOfData

    AI Topics

    3

    Bowl of Data focuses on these topics:

    Agent Frameworks(1)
    Multi-agent Systems(1)
    Local Inference(1)
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