Article URL: https://ironicsans.ghost.io/how-we-used-to-get-jobs/ Comments URL: https://news.ycombinator.com/item?id=49262211 Points: 6 # Comments: 0
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The decision between raising venture capital and bootstrapping is fundamentally a strategic choice, not merely a financing one, according to an analysis by Ralvan. Venture capital suits startups targeting markets where the first company to scale captures most of the value, but it comes with expectations of outsized returns and eventual liquidity events. Bootstrapping, by contrast, allows founders to retain full ownership and control, with a wider range of acceptable outcomes including modest but sustainable success. Key trade-offs include speed and headcount versus cash constraints, diluted ownership versus retained equity, and shared board control versus full autonomy. The piece also cautions that raising capital does not solve fundamental problems like lack of product-market fit, and that hybrid options such as revenue-based financing exist beyond the binary choice.
Google unveiled the Gemini 3.5 model family at Google I/O 2026, introducing Gemini 3.5 Flash as its flagship fast-action model alongside Gemini Omni for multimodal video output. A new personal agent called Spark is designed to provide round-the-clock assistance and will integrate with Google Workspace tools, with a macOS desktop experience also planned. The rollout also includes Daily Brief, a personalized morning digest feature, and enhancements to Google's Antigravity agent framework for developers and enterprise users. Gemini Omni is beginning to roll out to Google AI Plus, Pro, and Ultra subscribers, though full technical details and regional availability have not yet been disclosed. The breadth of the release signals Google's intent to embed Gemini across its product ecosystem rather than position it as a standalone AI application.
Celery is a Python tool that allows applications to offload time-consuming jobs — such as sending emails or processing payments — to background workers instead of blocking the main app. It operates through four components: a producer (the app), a broker (message queue), a worker (task executor), and an optional result backend. When a task is triggered, the app sends a message containing the task name and arguments to the broker, which holds it until a worker is available. The worker looks up the task name in its own registry and executes the corresponding function, then stores the result in the backend if one is configured. Task registration happens at import time via the @app.task decorator, and in larger projects, Celery's autodiscover_tasks() automates this by scanning installed apps for task definitions.
Grok Bot is a newly released multi-agent automation platform that runs on a user's computer and handles tasks across apps like LinkedIn, GitHub, and email. The tool allows users to set up individual bots for specific functions, such as posting on social media, closing GitHub issues, and reading or replying to emails. A content workflow can be configured to automatically publish posts across multiple platforms, including personal sites, Dev.to, LinkedIn, and X, from a single input. The platform offers a guided onboarding experience, suggesting actions based on a bot's name to help users get started without prior planning. Grok Bot is currently available with a free trial, and early users report a notably smooth setup process for connecting third-party services.
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