Affordabl.es, a collection of creative gifts I built in 7 days.

Hacker News

Just in time for the holidays. Affordabl.es is "creative designs and gifts for under $50". I made it live in about 7 days but have been adding products 1 by 1 for the past few weeks. So here's my list of plugins: ● Theme is a very modified version of IMBALANCE by WPSHOWER. ● Better WP Security, locks out bad logins, and is a must have, the first plugin you should install ● Advanced Custom Fields Plugin, used to add custom fields for product listings like the link to the store, the last checked price in the upper left corner ● Contact Form, used for the "submit product" form ● Displet Pop, Popup window script used to ask new visitors if they want to sign up for the monthly newsletter ● Easy Automatic Newsletter Lite, Sends out a newsletter of all the posts that month and emails them to subscribers ● NextScripts Social Networks Auto-Poster, Automatically posts links to content to Twitter, Facebook, Google + ● Scheduled Post Shift, changes the dates of the old products one by one each hour ● WP-PageNavi, Turns "older posts" into "Page 1 [2] 3 4" ● Widgets on Pages, Used for my "submit product" page along with Contact Form plugin ● W3 Total Cache, takes a huge load off your server by creating a static html version of your site ● Use Google Libraries, Use Google's hosted version of Jquery ● Ultimate Posts Widget, used for the "Featured Posts" section on product pages = TODO = ● Implement AJAX loading when a user reaches page bottom ● Implement a "love it"/"stupid" voting system ● Remove my picture, other design blogs do it to add a more personal touch but mine just feels strange

Visit product View on Hacker NewsDec 18, 2013

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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: google, user, new · Missing: mac, agents, macos

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal, month, google · Missing: mobile apps, ios, entrepreneurs

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

37%37% 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: subscribers · Missing: arr, mrr, revenue

21%21% 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

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