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Solara.dev

Recommended by ChatGPT across 2 prompt topics people ask about
1
ESTIMATED
ChatGPT referrals / mo
Prompt topics
2
Monthly ChatGPT prompts
900
Est. value / mo
$0
Avg rank
14.00
These aren't logged prompts (ChatGPT doesn't share those). They're the commercial topics people ask ChatGPT to recommend products for, sized from real search demand and verified by running each one through ChatGPT. How we estimate this.

Prompts where ChatGPT recommends Solara.dev

Each topic written the way a person would ask it. Estimated visits = this site's share of that prompt's demand.

Different ways people phrase this prompt. We merge them into one category, and the full ranking covers them all.

View full details for this prompt →
    View full details for this prompt →

    Proof: a real ChatGPT answer

    One of the 5 runs for Which Python frontend framework is best?, verbatim.

    ChatGPT:
    1. python.org
    2. streamlit.io
    3. plotly.com
    4. dash.plotly.com
    5. reflex.dev
    6. anvil.works
    7. nicegui.io
    8. flet.dev

    Where Solara.dev ranks

    How often ChatGPT places this site at each position across its prompt topics.

    #8
    most common spot
    0%
    of the time in the top 3
    #1
    0
    #2
    0
    #3
    0
    #4
    0
    #5
    0
    #6
    0
    #7
    0
    #8
    1
    #9
    0
    #10
    0
    #11
    0
    #12
    0
    #13
    0
    #14
    0
    #15
    0
    #16
    0
    #17
    0
    #18
    0
    #19
    0
    #20
    1

    Who else ChatGPT recommends

    Sites that come up for the same prompts as Solara.dev, ranked by how many topics they share.

    streamlit.io
    2 shared
    dash.plotly.com
    2 shared
    nicegui.io
    2 shared
    justpy.io
    2 shared
    gradio.app
    2 shared
    pynecone.io
    2 shared
    anvil.works
    2 shared
    kivy.org
    2 shared
    flet.dev
    2 shared
    bokeh.org
    2 shared
    taipy.io
    2 shared
    pyscript.net
    2 shared
    reflex.dev
    2 shared
    plotly.com
    1 shared
    tkdocs.com
    1 shared
    github.com
    1 shared
    wxpython.org
    1 shared
    How is this estimated?

    ChatGPT doesn't publish prompt data. We measure real demand for each commercial topic from Google search volume, scale it to ChatGPT's user base (about 1 ChatGPT user for every 8 Google searchers), and run each topic through ChatGPT 5 times to record which sites it recommends and in what order. A click-through-by-rank curve splits each topic's demand across the recommended sites. Every figure is a modeled estimate, not measured analytics. Full methodology →