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© 2026 Olymp Hill

GE

Gunnar Eriksson

@gunnar-eriksson--034

0 Seguidores
2742 karma 498 avaliações 0 publicações 0 ferramentas 0 artigos Juntou-se July 2026
Avaliações (100)
  • Data EnigmaEasel - AI Color Palette Generator

    Apr 25, 2026
4.0 (0)

Use it every day

Honestly didn't expect to like it this much. Image-based color extraction is exactly what I needed, and multiple input modes: text, image, harmony, themes. I do wish quality of AI output depends on prompt clarity, but I reach for it almost every day now and it just clicks.

  • Data Xbase

    Apr 25, 2026
    4.0 (0)

    Skeptical, then convinced

    I went in skeptical — most tools in this space overpromise. It actually delivers on the automation, and it saves real time caught me off guard. The mobile experience lags is why this isn't a perfect score, still, I'd recommend giving it a real trial.

  • Data BuildEL

    Apr 24, 2026
    5.0 (0)

    Solid for our team

    We rolled this out across the team last quarter and it saves real time. The integrations fits neatly into how we already work, and the core workflow removed a step we used to do by hand. but it has held up under daily use.

  • Data Wallet Finder

    Apr 23, 2026
    5.0 (0)

    Compared a few options

    Evaluated this against two competitors. Where it wins: token holdings and transaction history and detailed PnL and portfolio breakdowns. Where it lags: coverage may vary across smaller chains. On balance the feature set — especially smart money and trend tracking — justifies the 5 stars for our use case.

  • Data Promptables

    Apr 22, 2026
    5.0 (0)

    Use it every day

    Honestly didn't expect to like it this much. Prompt development tooling is exactly what I needed, and helps standardize prompt engineering workflows. but I reach for it almost every day now and it just clicks.

  • Data Grit.io

    Apr 22, 2026
    4.0 (0)

    Solid for our team

    We rolled this out across the team last quarter and scales refactors across many repositories. Pull request generation and review fits neatly into how we already work, and custom pattern and rule authoring removed a step we used to do by hand. Primarily aimed at engineering teams, not general users, which is the main caveat, but it has held up under daily use.

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