nowfound

Alternatives

Products that do what VARIA Carbon does

AI-powered SOC prediction from satellite data.No lab needed.

  1. 1

    Live carbon neutral and create a better future.

    2020

  2. 2

    Remove carbon as you grow your business

    2020

  3. 3CD
  4. 4

    Shift AI training & CI/CD to the lowest carbon regions!

    2025

  5. 5AA

    Hi all, We're Fabienne and Ewan of Climacrux. Today we're proud to launch our latest project to try and make carbon dioxide removal as accessible as possible: CDR Platform [1]. In short: it’s an API to connect to a portfolio of carbon removers. You can purchase from as low as a single gram and select from both natural and technological removal methods. Longer: A couple of years ago we launched an alternative to carbon credits, Carbon Removed[2], designed for individuals to buy and subscribe to CDR. But we always had the nagging thought that there was more that could be done. CDR Platform is…

    2022 · docs.cdrplatform.com

  6. 6

    Measure carbon emissions with an API

    2020

  7. 7

    Calculate & offset emissions from your cryptocurrencies

    2021

  8. 8

    Measure the carbon footprint of transaction data

    2021

  9. 9

    Real-time quantification of greenhouse gas removals

    Apr 2026 · hyphen.earth

  10. 10GR

    2019 · grassland.network

  11. 11

    Visual garden planner with real soil intelligence

    May 2026 · app.greenthinx.com

  12. 12

    Find out the how much CO2 your website emits

    2019

  13. 13

    A "virtual satellite" to map Earth in unprecedented detail

    2025

  14. 14
    Bend130

    1 click carbon accounting for startups

    2022

  15. 15IE

    (did my best with the data that is available online)

    2025 · modelpilot.co

  16. 16
    Farm2187

    Intelligent farming assistant and affordable field sensors.

    2020

  17. 17ST

    Hey folks, I’m Hassan, one of the co-founders of Infracost (https://www.infracost.io). Infracost helps engineers see and reduce the cloud cost of each infrastructure change before they merge their code. The way Infracost works is we gather pricing data from Amazon Web Services, Microsoft Azure and Google Cloud. What we call a ‘Pricing Service’, which now holds around 9 million live price points (!!). Then we map these prices to infrastructure code. Once the mapping is done, it enables us to show the cost impact of a code change before it is merged, directly in GitHub, GitLab etc.…

    Jan 2026 · dashboard.infracost.io

  18. 18

    AI soil intelligence for those who grow, study and restore

    Jun 2026 · soilytix.com

  19. 19VW

    We built a robotic plotter that creates ephemeral visualizations of website carbon footprints using water vapor on glass. It analyzes website energy data and translates it into misty patterns, making the invisible impact of digital infrastructure visible. Built during a residency at a cultural venue in Belgium. Code and build details here : https://gitlab.constantvzw.org/gijs/carbon-aware/-/tree/main....

    2024 · vimeo.com

  20. 20MC

    Have you ever wondered about the carbon footprint of your API? This week, the 27th climate summit takes place in Egypt. This inspired us to draw attention to the emissions produced by our online behaviour. We introduced some CO2-related features to our API testing tool: - Calculate carbon emissions of an API call - Set up a check to validate that your API endpoint doesn't cross the limit when it comes to emissions - Test all your API endpoints and get an approximate calculation of your API emissions in total We hope that by using these features, you will become more aware of the carbon…

    2022 · docs.stepci.com

  21. 21OA

    Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without sampling was critical for us. But these traces tend to be in the MBs, sometimes GBs - we needed to store them inexpensively. We also needed the queries and analyses to be fast. To meet both these goals, we store them in S3 in our own parquet-like file format, and query them using AWS…

    Jul 2026 · oodle.ai

  22. 22

    Developer micro-APIs — pay-per-call in USDC, no subcriptions

    May 2026 · carbon.norm.ovh

  23. 23
    Carbon7

    The analytics layer of AI

    Jun 2026 · oncarbon.site

  24. 24

    One scan. Lower costs. Carbon income. Free.

    Jun 2026 · ecoshade.org

Ranked by how close each launch is in meaning, then by votes. Refine with a description →