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What Killed Flash Player

https://medium.com/@aglaforge/what-really-killed-flash-player-a-six-year-campaign-of-deliberate-p...
1•jbegley•19s ago•0 comments

Ask HN: Anyone orchestrating multiple AI coding agents in parallel?

1•buildingwdavid•1m ago•0 comments

Show HN: Knowledge-Bank

https://github.com/gabrywu-public/knowledge-bank
1•gabrywu•7m ago•0 comments

Show HN: The Codeverse Hub Linux

https://github.com/TheCodeVerseHub/CodeVerseLinuxDistro
3•sinisterMage•8m ago•0 comments

Take a trip to Japan's Dododo Land, the most irritating place on Earth

https://soranews24.com/2026/02/07/take-a-trip-to-japans-dododo-land-the-most-irritating-place-on-...
2•zdw•8m ago•0 comments

British drivers over 70 to face eye tests every three years

https://www.bbc.com/news/articles/c205nxy0p31o
6•bookofjoe•8m ago•1 comments

BookTalk: A Reading Companion That Captures Your Voice

https://github.com/bramses/BookTalk
1•_bramses•9m ago•0 comments

Is AI "good" yet? – tracking HN's sentiment on AI coding

https://www.is-ai-good-yet.com/#home
1•ilyaizen•10m ago•1 comments

Show HN: Amdb – Tree-sitter based memory for AI agents (Rust)

https://github.com/BETAER-08/amdb
1•try_betaer•11m ago•0 comments

OpenClaw Partners with VirusTotal for Skill Security

https://openclaw.ai/blog/virustotal-partnership
2•anhxuan•11m ago•0 comments

Show HN: Seedance 2.0 Release

https://seedancy2.com/
2•funnycoding•11m ago•0 comments

Leisure Suit Larry's Al Lowe on model trains, funny deaths and Disney

https://spillhistorie.no/2026/02/06/interview-with-sierra-veteran-al-lowe/
1•thelok•11m ago•0 comments

Towards Self-Driving Codebases

https://cursor.com/blog/self-driving-codebases
1•edwinarbus•12m ago•0 comments

VCF West: Whirlwind Software Restoration – Guy Fedorkow [video]

https://www.youtube.com/watch?v=YLoXodz1N9A
1•stmw•13m ago•1 comments

Show HN: COGext – A minimalist, open-source system monitor for Chrome (<550KB)

https://github.com/tchoa91/cog-ext
1•tchoa91•13m ago•1 comments

FOSDEM 26 – My Hallway Track Takeaways

https://sluongng.substack.com/p/fosdem-26-my-hallway-track-takeaways
1•birdculture•14m ago•0 comments

Show HN: Env-shelf – Open-source desktop app to manage .env files

https://env-shelf.vercel.app/
1•ivanglpz•18m ago•0 comments

Show HN: Almostnode – Run Node.js, Next.js, and Express in the Browser

https://almostnode.dev/
1•PetrBrzyBrzek•18m ago•0 comments

Dell support (and hardware) is so bad, I almost sued them

https://blog.joshattic.us/posts/2026-02-07-dell-support-lawsuit
1•radeeyate•19m ago•0 comments

Project Pterodactyl: Incremental Architecture

https://www.jonmsterling.com/01K7/
1•matt_d•19m ago•0 comments

Styling: Search-Text and Other Highlight-Y Pseudo-Elements

https://css-tricks.com/how-to-style-the-new-search-text-and-other-highlight-pseudo-elements/
1•blenderob•21m ago•0 comments

Crypto firm accidentally sends $40B in Bitcoin to users

https://finance.yahoo.com/news/crypto-firm-accidentally-sends-40-055054321.html
1•CommonGuy•21m ago•0 comments

Magnetic fields can change carbon diffusion in steel

https://www.sciencedaily.com/releases/2026/01/260125083427.htm
1•fanf2•22m ago•0 comments

Fantasy football that celebrates great games

https://www.silvestar.codes/articles/ultigamemate/
1•blenderob•22m ago•0 comments

Show HN: Animalese

https://animalese.barcoloudly.com/
1•noreplica•22m ago•0 comments

StrongDM's AI team build serious software without even looking at the code

https://simonwillison.net/2026/Feb/7/software-factory/
3•simonw•23m ago•0 comments

John Haugeland on the failure of micro-worlds

https://blog.plover.com/tech/gpt/micro-worlds.html
1•blenderob•23m ago•0 comments

Show HN: Velocity - Free/Cheaper Linear Clone but with MCP for agents

https://velocity.quest
2•kevinelliott•24m ago•2 comments

Corning Invented a New Fiber-Optic Cable for AI and Landed a $6B Meta Deal [video]

https://www.youtube.com/watch?v=Y3KLbc5DlRs
1•ksec•26m ago•0 comments

Show HN: XAPIs.dev – Twitter API Alternative at 90% Lower Cost

https://xapis.dev
2•nmfccodes•26m ago•1 comments
Open in hackernews

Replit just changed their Pricing...

2•zahirbmirza•7mo ago
Email From Replit:

Hey there,

We’re updating how pricing works for Replit Agent to better reflect the effort the Agent puts forth in addressing user requests.

Previously, the Agent charged $0.25 per checkpoint. This meant small edits would cost $0.25, while larger tasks could trigger multiple $0.25 checkpoints.

With our new Effort-Based pricing model, small changes still result in a single checkpoint, but that checkpoint will typically cost less than $0.25. Larger or more complex tasks are no longer split across multiple $0.25 checkpoints. Instead, they will be bundled into one checkpoint, which may cost more than $0.25 but reflects the total effort involved.

This means you’ll pay less for simple requests and may pay more for complex requests—ensuring pricing aligns better with the actual work the Agent performs on your behalf.

The new pricing model is effective immediately for new Replit users and will start rolling out to existing Core and Teams subscribers starting July 1st.

New pricing model Effort-Based pricing: Cost will reflect the true scope of the Agent’s work More meaningful checkpoints per request: Checkpoints capture the final output of the request only No intermediate checkpoints: This reduces noise and makes it easier to track progress Simple tasks may cost less than $0.25, more complex tasks may cost more than $0.25

How the pricing will appear in the Replit Agent user interface

Why we're changing checkpoint pricing

The original $0.25-per-checkpoint pricing was designed for the early version of Replit Agent, which mostly handled short, simple tasks that took a consistent amount of time. As the Agent has evolved, it’s now capable of solving both more complex, longer-running tasks (like self-debugging errors) and smaller tasks more quickly. As a result, the time and effort involved in addressing user requests can vary significantly from request to request.

Reflecting the Agent’s evolving capabilities, we are introducing two new controls to adjust the level of effort the Agent uses—available on a per-request basis. These new controls will start rolling out to new users starting later today and to existing users starting July 1st. High power model: Increases the Agent’s intelligence by using a more capable AI model Extended thinking: Instructs the Agent to take more time for deeper reasoning and more thorough solutions

For more complex tasks or tough challenges, using a more powerful and thorough version of the Agent can be a smarter use of your time and budget. It’s like calling in an expert when the problem demands it.

With Effort-Based pricing, you stay in control—choosing when to spend extra resources for a more powerful Agent—and you’ll only pay for the actual effort required to complete each request.

Marching towards a more agentic future

The Agent is getting smarter, with enhanced capabilities to tackle more complex, nuanced, and long-running tasks. Effort-Based pricing lays the groundwork for a more agentic future—one where Agent runs longer autonomously, building and testing more of your app with minimal user input.

Keep building, The Replit Team