Bliq – A meta-search engine for ride-hailing

Hacker News

The problem we address: Platform monopolies in the ride-hailing space have led to users paying more for trips, while receiving a lower quality service. On the flip side, drivers often find themselves at the mercy of a single dominant platform, impacting their earnings and freedom of choice. So… we saw an opportunity to empower users. Technical solution: - built an internal API that interfaces with multiple platform APIs to fetch real-time ride data (for both passenger and driver personas) - built two apps: - for drivers: aggregated incoming offers in a single interface, custom parameters-based automation, surge maps, aggregated statistics (earnings, distance, time) - for passengers: aggregated ride options, pricing, and ETAs in a single interface, deep-linking directly into the ride request within the platform apps Challenges & resistance: - platforms attempted to block our API traffic - we observed unusually rigorous hardware protection in some platform apps, causing a lot of drivers to have to change their older phones even if they didn’t use Bliq - we realized some of their mobile apps tried to detect if our app is installed on their device, potentially flagging drivers. they removed this mechanism afterwards - some drivers reported being cautioned/advised against using Bliq by employees of some of the platforms Curious to know how the community would navigate these challenges while maintaining integrity and user value. We just launched the passenger app this week, so feedback on both apps is very welcome.

Visit product View on Hacker NewsAug 18, 2023

Share card

Actual performance

11points

2comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: apps, user, single · Missing: mac, agents, macos

88%88% 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 · Strong signals: para · Missing: supports, reddit linkedin, podcasting

84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

41%41% 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

18%18% 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

Meta Random Search26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Randomize you default search engine for more diversity

Indie Hackers3content

AISLER – Search Engine for electronic circuits53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AISLER – Search Engine for electronic circuits

Hacker News9

Threadbase – A T-Shirt Search Engine60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Threadbase – A T-Shirt Search Engine

Hacker News4

PressPanda, a journalist search engine60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PressPanda, a journalist search engine

Hacker News6

Search engine for standalone lectures56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Search engine for standalone lectures

Hacker News7

A reactive search engine45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A reactive search engine

Hacker News10

Vineyard - A search engine for Vine60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vineyard - A search engine for Vine

Hacker News3

Sentiment Search Engine65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sentiment Search Engine

Hacker News12

We made a search engine60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We made a search engine

Hacker News3

Healthforum – Drug Side Effect Search Engine51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Healthforum – Drug Side Effect Search Engine

Hacker News2

Browse all products Analyze your launch