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Product Hunt statistics, updated daily

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Which weekday gives the best shot at the top 5 on Product Hunt?

Sunday launches reached the top 5 59.7% of the time; Tuesday launches, 23%.

10,313 launchesbehind every number here

Settled launches

10,313

synced daily

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3 a month

no card needed

Every answer shows

Sample size

and how it was worked out

Topics covered

6

Artificial Intelligence, Developer Tools, Productivity…

Quick answer: LaunchPact tracks 10,313 settled Product Hunt launches (September 2024 to October 5, 2026). Sunday launches reached the top 5 59.7% of the time; Tuesday launches, 23%. Teams of 4+ reached the top 5 54.6% of the time; solo makers, 17.7%. #1 took a median of 548 upvotes; #4–5, 252; #6–10, 158. The AI Launch Analyst answers your own questions from the same data and shows the sample size behind every number.
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Product Hunt statistics, straight from the data

Each card is a query the AI Launch Analyst runs. Open How we got this to see exactly how it was worked out.

Which weekday gives the best shot at the top 5?

Sunday launches reached the top 5 59.7% of the time; Tuesday launches, 23%.

Top-5 rate

Grouped by weekday · 10,313 launches

  • Monday
    36.8%n=1,319
  • Tuesday
    23%n=2,101
  • Wednesday
    26.1%n=1,863
  • Thursday
    24.2%n=1,951
  • Friday
    30.3%n=1,559
  • Saturday
    54.3%n=766
  • Sunday
    59.7%n=754
How we got this
  • All settled launches
  • Grouped by weekday
  • Measured: Top-5 rate, Launches

10,313 launches matched (left out: 53 still settling). Monday: n=1319 · Tuesday: n=2101 · Wednesday: n=1863 · Thursday: n=1951 · Friday: n=1559 · Saturday: n=766 · Sunday: n=754

  • Counts only launches whose votes had settled (synced 24+ hours after launch).
  • Dates and weekdays use the Product Hunt (Pacific) calendar.
  • Covers featured Product Hunt launches tagged Artificial Intelligence, Developer Tools, Productivity, Design Tools, Marketing, SaaS. Launches only in other topics are not in the data, so some ranks are missing on some days.
  • Dates 2024-09-01 to 2026-10-05. Data through 2026-10-05.

Do solo makers reach the top 5 as often as teams?

Teams of 4+ reached the top 5 54.6% of the time; solo makers, 17.7%.

Top-5 rate

Grouped by team size · 9,703 launches

  • Solo maker
    17.7%n=4,803
  • 2–3 makers
    39.6%n=2,765
  • 4+ makers
    54.6%n=2,135
How we got this
  • All settled launches
  • Grouped by team size
  • Measured: Top-5 rate, Launches

9,703 launches matched (left out: 50 still settling, 610 with no makers listed). Solo maker: n=4803 · 2–3 makers: n=2765 · 4+ makers: n=2135

  • Counts only launches whose votes had settled (synced 24+ hours after launch).
  • Dates and weekdays use the Product Hunt (Pacific) calendar.
  • Team size is Product Hunt's maker count (solo = 1, small = 2-3, team = 4+). Launches with no makers listed are left out.
  • Covers featured Product Hunt launches tagged Artificial Intelligence, Developer Tools, Productivity, Design Tools, Marketing, SaaS. Launches only in other topics are not in the data, so some ranks are missing on some days.
  • Dates 2024-09-01 to 2026-10-05. Data through 2026-10-05.

Do launches with a video rank better?

Launches with a video reached the top 5 35.1% of the time; launches without one, 23.9%.

Top-5 rate

Grouped by video vs no video · 10,313 launches

  • With video
    35.1%n=7,116
  • No video
    23.9%n=3,197
How we got this
  • All settled launches
  • Grouped by video vs no video
  • Measured: Top-5 rate, Launches

10,313 launches matched (left out: 53 still settling). With video: n=7116 · No video: n=3197

  • Counts only launches whose votes had settled (synced 24+ hours after launch).
  • Dates and weekdays use the Product Hunt (Pacific) calendar.
  • Covers featured Product Hunt launches tagged Artificial Intelligence, Developer Tools, Productivity, Design Tools, Marketing, SaaS. Launches only in other topics are not in the data, so some ranks are missing on some days.
  • Dates 2024-09-01 to 2026-10-05. Data through 2026-10-05.

Do repeat makers rank better?

Makers on their 4th or later launch reached the top 5 42.2% of the time; first launches, 31.5%.

Top-5 rate

Grouped by the maker's launch number · 9,703 launches

  • 1st launch by maker
    31.5%n=8,112
  • 2nd launch by maker
    31.7%n=937
  • 3rd launch by maker
    35.6%n=261
  • 4th+ launch by maker
    42.2%n=393
How we got this
  • All settled launches
  • Grouped by the maker's launch number
  • Measured: Top-5 rate, Launches

9,703 launches matched (left out: 50 still settling, 610 with no visible maker username). 1st launch by maker: n=8112 · 2nd launch by maker: n=937 · 3rd launch by maker: n=261 · 4th+ launch by maker: n=393

  • Counts only launches whose votes had settled (synced 24+ hours after launch).
  • Dates and weekdays use the Product Hunt (Pacific) calendar.
  • Launch number by maker is a lower bound: it only sees launches in our data (since 2024-09-01) and makers whose usernames Product Hunt shows.
  • Covers featured Product Hunt launches tagged Artificial Intelligence, Developer Tools, Productivity, Design Tools, Marketing, SaaS. Launches only in other topics are not in the data, so some ranks are missing on some days.
  • Dates 2024-09-01 to 2026-10-05. Data through 2026-10-05.

How many upvotes does each rank take?

#1 took a median of 548 upvotes; #4–5, 252; #6–10, 158.

Median votes

Grouped by rank band · 10,313 launches

  • #1
    548n=700
  • #2–3
    370n=1,306
  • #4–5
    252n=1,260
  • #6–10
    158n=2,649
  • #11–20
    111n=2,902
  • #21+
    80n=1,496
How we got this
  • All settled launches
  • Grouped by rank band
  • Measured: Median votes, Launches

10,313 launches matched (left out: 53 still settling). #1: n=700 · #2–3: n=1306 · #4–5: n=1260 · #6–10: n=2649 · #11–20: n=2902 · #21+: n=1496

  • Counts only launches whose votes had settled (synced 24+ hours after launch).
  • Dates and weekdays use the Product Hunt (Pacific) calendar.
  • Covers featured Product Hunt launches tagged Artificial Intelligence, Developer Tools, Productivity, Design Tools, Marketing, SaaS. Launches only in other topics are not in the data, so some ranks are missing on some days.
  • Dates 2024-09-01 to 2026-10-05. Data through 2026-10-05.

How many comments do top launches get?

#1 launches had a median of 79 comments; #6–10, 15.

Median comments

Grouped by rank band · 10,313 launches

  • #1
    79n=700
  • #2–3
    44n=1,306
  • #4–5
    27n=1,260
  • #6–10
    15n=2,649
  • #11–20
    9n=2,902
  • #21+
    4n=1,496
How we got this
  • All settled launches
  • Grouped by rank band
  • Measured: Median comments, Launches

10,313 launches matched (left out: 53 still settling). #1: n=700 · #2–3: n=1306 · #4–5: n=1260 · #6–10: n=2649 · #11–20: n=2902 · #21+: n=1496

  • Counts only launches whose votes had settled (synced 24+ hours after launch).
  • Dates and weekdays use the Product Hunt (Pacific) calendar.
  • Covers featured Product Hunt launches tagged Artificial Intelligence, Developer Tools, Productivity, Design Tools, Marketing, SaaS. Launches only in other topics are not in the data, so some ranks are missing on some days.
  • Dates 2024-09-01 to 2026-10-05. Data through 2026-10-05.

Data through October 5, 2026. Associations, not causes.

Ask your own question
How it works

Your question, answered from the data

The AI Launch Analyst doesn't answer from memory. It runs a query and shows you the query.

  1. 1

    Ask in plain English

    Type a question about Product Hunt launches, like the best weekday for AI tools or the upvotes a top-5 finish takes.

  2. 2

    It picks the filters

    The AI Launch Analyst turns your question into a query: topic, weekday, rank, team size, video, votes or comments, and what to compare.

  3. 3

    It runs the numbers

    The query runs on every settled launch in LaunchPact's Product Hunt launch data, synced daily.

  4. 4

    You see how it got there

    The answer comes with the sample size, a chart, and a How we got this panel with the exact filters and definitions.

What it can't answer

Ask anyway: it says when the data can't answer and offers a question it can.

  • The best time of day to launch: almost every featured launch goes live at 12:01 AM Pacific
  • How fast votes come in during the day
  • Which hunter posted a launch
  • The traffic, signups or revenue a launch brought in
  • Launches outside the 6 topics it tracks
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Why it's different

Stop guessing from one founder's launch

Most launch advice is one story, or a number with no source. Some say Tuesday, some say Sunday. Here every number comes with the launches behind it.

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Where the numbers come from
One founder's launch, or figures with no source
10,000+ settled launches, synced daily
Sample size
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Your question
Whatever the post happened to cover
Exactly what you ask: your topic, your weekday, your team size
How it was worked out
Hidden
How we got this lists the filters, groups and definitions
When there's no answer
You get an answer anyway
It says so, and suggests a question the data can answer
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FAQ

Product Hunt launch questions, answered

LaunchPact syncs featured Product Hunt launches every day, going back to September 2024. A launch is counted once it has been featured for 24 hours, so its votes and rank have settled. The data covers launches tagged Artificial Intelligence, Developer Tools, Productivity, Design Tools, Marketing, SaaS. Launches that are only in other topics aren't in it, so a few daily ranks are missing on some days.

Sunday launches reached the top 5 59.7% of the time; Tuesday launches, 23%. Launch counts differ too: 754 on Sundays against 2,101 on Tuesdays. Your topic can change the answer, so ask the AI Launch Analyst about yours.

Almost every featured launch in the data went live at 12:01 AM Pacific, the start of the Product Hunt day, so it can't compare launch hours, and it doesn't record when votes came in during the day. What it can compare is the day you launch on.

In the data, #1 launches had a median of 548 upvotes (n=700), so about half had more. Medians further down: #2–3 370, #4–5 252, #6–10 158. The bar moves with the weekday and the topic, so ask the AI Launch Analyst for yours.

Teams of 4+ reached the top 5 54.6% of the time; solo makers, 17.7%. Teams of 2–3 reached it 39.6% of the time. Team size goes with other things, like a bigger network, so read it as an association, not a cause.

Launches with a video reached the top 5 35.1% of the time; launches without one, 23.9%. That's an association, not a cause: teams that make a video may also do other things well.

You ask in plain English. The AI Launch Analyst turns your question into a query on the data, with filters like topic, weekday, rank, team size, video, votes, comments or a word in the name or tagline, and groups the launches by what you're comparing. It runs the query and writes the answer from the results, with a chart and a How we got this panel.

It's instructed to use only the numbers its queries return, plus simple arithmetic on them, and to give the sample size for every group it compares. Every answer shows the queries behind it, so you can check. When the data can't answer, it says so and suggests a question it can answer.

The best time of day to launch: almost every featured launch goes live at 12:01 AM Pacific. How fast votes come in during the day. Which hunter posted a launch. The traffic, signups or revenue a launch brought in. Launches outside the 6 topics it tracks. Ask anyway: it tells you when the data can't answer and offers a question it can.

Every account gets 3 free questions a month, reset on the 1st (UTC). A question only uses a credit when it runs a query on the data, so a decline or a "can't answer" is free. After that, packs start at $9 for 15 questions. The Launch Package adds 8 questions.

Paid questions never expire. Free questions reset each month and don't roll over.

Yes. Any answer that used launch data can get a public link with the question, the answer and its chart. You can revoke the link at any time.

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