Sell your stuff, Say bye to individual ads

Hacker News

How would you clear a house and sell its content in a short period of time if you had to? I was faced with this challenge last year when I lost my mother and had to let go her house. With no time and energy to post individual ads on traditional platforms like Facebook Marketplace, I couldn’t find an easy solution so I decided to create one. Quickly after starting, I realised that it could also benefit sellers from flea markets, yard and car boot sales or even street vendors selling arts and other craft works and that this space was not digitalized. The idea, therefore, became to be able to set up virtual market stalls to sell a bunch of stuff without the need to post individual ads. A sort of shopify for street vendors, self promoted using QR codes in real life. What about item categorisation for buyers? How would they browse? By location, by keywords, by category, etc. The fields are all optionals for sellers so I add keywords using image recognition algorithms when they upload pictures. I hope this solution will help others too. Looking forward to your feedbacks!

Visit product View on Hacker NewsAug 19, 2022

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

85%85% 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: using, code · Missing: mac, agents, macos

56%56% 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

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

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

35%35% 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

28%28% 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: shopify · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real life · 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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