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Sell It Easy – Sell anything in 30 seconds

Hacker News

Sell It Easy – Sell anything in 30 seconds

Hey HN! We launched Sell It Easy today on Product Hunt http://producthunt.co and would love to hear some feedback. Basically, you submit and item you want to sell, we calculate the top price we think you could get, and if you agree we sell it for you. We handle everything including listing, managing, picking up the item from you (or providing a pre-paid shipping label), and shipping to the buyer. We cut costs with bulk shipping rates and increase sale prices by utilizing multiple markets. You get paid immediately via PayPal, Square Cash, or Bitcoin. Let me know what you think!!

Visit product View on Hacker NewsOct 12, 2015

Actual performance

2points

2comments

Did not reach leaderboard

Launch Intel predictions

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

83%83% 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.

Hacker NewsStrong engagement from HN community · Strong signals: including · Missing: https docs, excited, just released

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

34%34% 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

28%28% 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

23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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