Re
Restless to RESTful - are we doing it right?
Hacker NewsRestless to RESTful - are we doing it right?
Following on our previous discussion on HN [1], we've gone ahead and implemented a REST interface for our online fax service, where we previously only had a SOAP API. Documentation [2] is 90% complete, so this might be a good time to get your feedback if we're doing it right. As always, brutal honesty appreciated! -------------- [1] http://news.ycombinator.com/item?id=3467287 [2] http://www.interfax.net/en/dev/rest/reference
Share cardActual performance
6points
2comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released77%77% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue16%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, crypto4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Cike42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What are you doing right now?
Product Hunt+3An
Annex – What are you doing?56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Annex – What are you doing?
Hacker News10Pi
Pinggy – What are you doing?61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pinggy – What are you doing?
Hacker News2
Scholé Scenarios40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learn by doing
Product Hunt+175Artificial IntelligenceWh
What Are People Doing Now?55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What Are People Doing Now?
Hacker News4I
I made a landing page am I doing this right?54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a landing page am I doing this right?
Hacker News12Si
Simple tool to remind you of your resolutions and how well you're doing57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Simple tool to remind you of your resolutions and how well you're doing
Hacker News4We
WeatherTunes — The right tunes for right now56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WeatherTunes — The right tunes for right now
Hacker News32Ta
Taskr - "Tasking Done Right"38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Taskr - "Tasking Done Right"
Hacker News8Wo
Wordchum – Lurn 2 Right56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Wordchum – Lurn 2 Right
Hacker News2