AutoTempest's new homepage

Hacker News

We just released a new homepage for www.autotempest.com, and I would love any feedback you have to offer. The primary goal for this design was to make it as straightforward as possible to grok the site's purpose and to run a search, while also removing barriers for power users. (All advanced options are available with a single click, no page reload, and if they are used, they open automatically for the next search.) There are certainly still areas for improvement. Our next iteration will improve the first impression at mobile widths. Right now there is too much stuff crammed into the hero image, so it really doesn't convey anything well, and both looks bad and gets in the way of what people really want - the search form. We've got some ideas of how to fix that and hopefully have the best of both worlds. We also need to port some of the design elements from the new home page - header and footer especially - to the results and other pages. After that, we need to focus on improved curation of our make and model lists, and then we plan to move from selects to comboboxes to make model section faster and more user-friendly. Of course we have plenty of plans for the longer-term as well, but those are the main ones for now. Thanks for taking a look!

Visit product View on Hacker NewsJan 6, 2016

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

96%96% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, user, new · Missing: mac, agents, macos

95%95% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: friendly, users · Missing: plus, platform, intuitive

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users, way · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: just released, ide, io · Missing: https docs, excited, exist

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

9%9% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

The New New Normal: The 2016 Election and Economies of Inattention34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The New New Normal: The 2016 Election and Economies of Inattention

Hacker News2

DynaMix – A new take on polymorphism in C++44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

DynaMix – A new take on polymorphism in C++

Hacker News4

My new homepage32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My new homepage

Hacker News103

the new HN Kansai Meetup homepage39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

the new HN Kansai Meetup homepage

Hacker News2

The new Square45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The new Square

Hacker News2

New from Ruby Jokes: taint_aliases40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

New from Ruby Jokes: taint_aliases

Hacker News1

A New Breadboard with no wires or jumpers44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A New Breadboard with no wires or jumpers

Hacker News4

New PhotoSwipe44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

New PhotoSwipe

Hacker News33

My fancy new homepage38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My fancy new homepage

Hacker News1

A new religion44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A new religion

Hacker News1

Browse all products Analyze your launch