TE
科技回声
首页24小时热榜最新最佳问答展示工作
GitHubTwitter
首页

科技回声

基于 Next.js 构建的科技新闻平台,提供全球科技新闻和讨论内容。

GitHubTwitter

首页

首页最新最佳问答展示工作

资源链接

HackerNews API原版 HackerNewsNext.js

© 2025 科技回声. 版权所有。

Superhuman built an engine to find product market fit (2018)

59 点作者 tekkk9 个月前

11 条评论

bko9 个月前
The article discusses a way to test product market fit prior to launching. After launch its obvious. But then the way it tests product market fit is asking its users if they would be disappointed if the product didn&#x27;t exist.<p>But if you have users you can simply test product market fit to see engagement. If people are engaged, that&#x27;s a good sign. If you have people that are signed up and aren&#x27;t engaged, that&#x27;s a bad sign.<p>The author uses Slack as an example of a company that has product market fit and over 50% of users surveyed would say they&#x27;d be &quot;very disappointed&quot; without Slack (the magic number to beat is 40%). I wonder how that poll would fare for Microsoft Teams, that has 320 million MAU compared to around 40 million for Slack (roughly, few years old but order of magnitude is ~10x). Does Slack have more of a product market fit than Teams because very few people would be disappointed if Teams stopped existing? Or is usage a better metric?
评论 #41391183 未加载
评论 #41392030 未加载
sarora279 个月前
You gotta love good survivorship bias stories like this. Especially those written by VC armchair quarterbacks. It&#x27;s always the same examples reiterated over and over again.
评论 #41392776 未加载
andrewstuart9 个月前
I felt that Superhuman was super good at making investors and VCs enthused, but that’s not product market fit.<p>I guess it’s VC product fit. Or VC salesman fit or something.<p>As the other comment in this thread asks “the proof is in the pudding, does Superhuman have product market fit today?”
flappyeagle9 个月前
You should ignore this article. They ultimately did not get PMF
评论 #41392098 未加载
Satam9 个月前
My experience with Superhuman has been terrible. Back in the day, I tried to sign up. Couldn&#x27;t. Then they started allowing sign-ups, but there was a <i>mandatory</i> onboarding&#x2F;sales call to get started...<p>Finally, some time ago managed to sign up in hopes it could help to manage multiple inboxes with a unified inbox for all of my accounts. Nope doesn&#x27;t have that. Canceled my subscription immediately yet I kept receiving their spam for a while.<p>Overall, a very scammy vibe.
评论 #41390070 未加载
评论 #41391036 未加载
评论 #41395094 未加载
评论 #41395887 未加载
评论 #41391927 未加载
cklemming9 个月前
Does anyone know how Superhuman is doing these days?<p>It&#x27;s been a bit quiet since their insane hype-cycle during the time this article was published.
评论 #41391141 未加载
评论 #41390492 未加载
评论 #41389801 未加载
评论 #41395902 未加载
lowkey9 个月前
Notably, Rahul copied the well known Sean Ellis metric then failed to credit the originator - and got famous. Kind of sketchy in my opinion.
codegladiator9 个月前
obviously no real content in TFA, upvoters can elaborate why this is interesting
评论 #41391261 未加载
评论 #41390175 未加载
dwallin9 个月前
Is it just me, or is this bad statistics?<p>With a small sample size and large numbers of personas &#x2F; categories you would expect to see a positive bump, even if there was no statistical relationship between the persona and the preference. Since you are only eliminating categories that don&#x27;t happen to be represented in the subset you are testing, you can only ever actually go up.<p>For demonstration I rolled 20 dice randomly for 6 personas and 3 categories of preference:<p>1, 5, 4, 4, 4, 2, 6, 1, 4, 2, 1, 2, 5, 6, 3, 6, 3, 2, 1, 3<p>A, A, A, A, B, C, B, A, C, A, C, A, B, C, A, A, B, A, B, B<p>A = 10, B = 6, C = 4; Which gives me 20% for C<p>I restrict myself to just the numbers that voted for C (2, 4, 1, 6) removing all 3 and 5s<p>I now am left with:<p>1, 4, 4, 4, 2, 6, 1, 4, 2, 1, 2, 6, 6, 2, 1<p>A, A, A, B, C, B, A, C, A, C, A, C, A, A, B<p>This now gives me A = 8, B = 3, C = 4<p>And now I get 27%, a nice 35% boost! Even better than Superhuman&#x27;s 10% boost. But this is all an illusion, there was absolutely no dependency between the persona and preference here, which you would only see with a large enough sample size.
评论 #41429438 未加载
ed9 个月前
Having followed this exact playbook to validate several products I can confidently say this will give you false positives and the only reliable way to determine when you have PMF is: accidentally get PMF on something so that you know what it feels like (it’s unmistakeable).<p>Peter Reinhardt from Segment has a must-watch talk for anyone interested in this topic <a href="https:&#x2F;&#x2F;youtu.be&#x2F;_6pl5GG8RQ4?si=pogHC45L58U7K6mW" rel="nofollow">https:&#x2F;&#x2F;youtu.be&#x2F;_6pl5GG8RQ4?si=pogHC45L58U7K6mW</a>
nextworddev9 个月前
Never used Superhuman - has to be one of the most hyped startups with the least amount of IRL users that I know of