"Ask and Yeah" a Twitter-alike service for Q&A with pinterest layout

Hacker News

I want to show you my new web app “Ask and Yeah”. http://askandyeah.com it’s like a twitter-service for questions and answers with a pinterest layout :D. People can ask wh-questions (what, where, when, why ….) using max 140 characters. Others can answer questions using max 50 characters. You can use hashtags to categorize questions (@ for person, # for thing, ! for place). For example: what did @JFK say in his famous #speech in !Berlin in 1963? My main goal creating this app (beside learning new programming skills) is helping people quickly find questions about a specific topics when they need some. For example: teachers looking for question for their students, families looking for quizzes for a quiz-night, or people looking for fun. Feedbacks are appreciated. Also if you have new ideas for “Ask and Yeah”, please let me know. It’s mainly my side-project, but i desire to develope it further. Thank you An

Visit product View on Hacker NewsSep 15, 2012

Share card

Actual performance

4points

5comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: answers · Missing: mobile apps, ios, personal

59%59% 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

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

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

39%39% 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 · Missing: arr, mrr, revenue

13%13% 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

Tilepad for Twitter – Twitter in Pinterest Layout50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tilepad for Twitter – Twitter in Pinterest Layout

Hacker News30

Pinstified - Search Amazon With Pinterest Style Layout48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pinstified - Search Amazon With Pinterest Style Layout

Hacker News12

SnapChum – Crowdfire for Pinterest56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SnapChum – Crowdfire for Pinterest

Hacker News2

FFFFOUND to Pinterest Importer56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

FFFFOUND to Pinterest Importer

Hacker News1

Pinzoid - Alexa for Pinterest32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pinzoid - Alexa for Pinterest

Hacker News2

Fix for the new Twitter layout43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fix for the new Twitter layout

Hacker News1

Crawling Twitter for AI service ideas35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Crawling Twitter for AI service ideas

Hacker News4

Eclips – Pinterest for Video47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Eclips – Pinterest for Video

Hacker News14

commentto, "Pinterest for text"47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

commentto, "Pinterest for text"

Hacker News3

Pinterest for text58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pinterest for text

Hacker News115

Browse all products Analyze your launch