My

My Marketing Page Before and After

Hacker News

My Marketing Page Before and After

A few days ago I put up the first draft of my marketing page for critique, and I got good feedback and enough visitor data to get me going toward a second draft of my marketing page. The advice and research I got from it was very good, and I'd like to show ya'll the Before and After. Here is a link to the screenshot of how it looked before: https://docs.google.com/file/d/0B8EKDJz2xKNvRkhNLUdkMjBkMVU/edit?usp=sharing And you can see how it looks now at: http://ulisesrmzroche.github.io What I learned was that the subject of your illustration is really important. If you don't have a remarkable idea for it, no stock picture can save you. It was literally getting in the way, so I decided to cut it out. I think the headline has more power this way, and pulls its weight, but I miss the visual impact anyway, so I was thinking of listing portfolio projects in a slideshow in place of the illustration. Though I'd need to get some good ones under my belt first. I also sold my capabilities more and honed in on my target market, as was advised. This I thought was a better idea. Also, I adjusted the contrast of the call-to-actions. Now I just have a single call to action on the page, Learn More, which now opens a modal that contains more information about me. But I tucked the second one, Contact, into a small label on the bottom right corner of the Learn Modal, that contains my phone number. I feel this may work better, but I'm going to experiment more with the contrast and see if I can find some middle ground. In any case, thanks again for your time! I learned a lot from this and it really helped a lot. If you have any critique, I would be very grateful and have a good rest of your weekend!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
91%91% 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: google, visual, single · Missing: mac, agents, macos
69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: google, way · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% 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.

Incorrect prediction on native model

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