Show HN - Plazn: reservation saas for restaurants

Hacker News

Plazn is a user-friendly reservation system designed for restaurants. We eliminate the stress of commissions and provide a seamless booking experience for both restaurants and diners. Our platform is built on simplicity, efficiency, and customer-centricity, with customization options for every eatery's unique brand. The Missing Ingredient: We recognize the incredible value of feedback from those who have a keen eye for innovation and improvement. We're inviting you to share your thoughts on our platform and our journey so far. Here's what we'd love to hear from you: Platform Usability: How user-friendly do you find Plazn's reservation system? Are there any aspects that could be improved for an even smoother experience? Feature Requests: What features or functionalities would you love to see in Plazn? Your creative ideas can help shape the future of our platform. User Experience: How can we enhance the overall experience for restaurant owners and diners using Plazn? Do you have any insights on creating a more delightful experience? Any guidance or insights related to navigating the startup ecosystem and optimizing our journey would be invaluable. Constructive Criticism: What areas do you believe need immediate attention or improvement? We genuinely welcome constructive criticism to help us grow. How to Reach Out: Sharing your insights with us is easy. Simply drop us an email at hello@plazn.com. We're all ears, ready to learn from your expertise and make Plazn even better. Thank you for being a part of the Plazn story. Together, we'll continue to revolutionize the restaurant industry, one reservation at a time.

Visit product View on Hacker NewsOct 31, 2023

Share card

Actual performance

1points

4comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

91%91% 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: user, email, using · Missing: mac, agents, macos

77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: platform, friendly · Missing: plus, intuitive, reviews

59%59% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

24%24% 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: saas · Missing: arr, mrr, revenue

10%10% 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

Hapibelly, Rotten Tomatoes for Restaurants55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hapibelly, Rotten Tomatoes for Restaurants

Hacker News40

IntuiFood12%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Logiciel de gestion de restaurants

Indie Hackers

Beeeper26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SaaS that aims to replace hardware pagers for restaurants

Indie Hackers4apis

Orderich39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Online Ordering System for Restaurants

Indie Hackerscommitment-side-project

Foodiebuddy24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Restaurants Selection and Voting Website

Indie Hackers1events

Foodba58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Digital tooling for Restaurants

Indie Hackers5$1,700/mob2b

MenuApp – AI-manager for restaurants and caffe45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MenuApp – AI-manager for restaurants and caffe

Hacker News5

libsaas, it's libcloud for SaaS47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

libsaas, it's libcloud for SaaS

Hacker News46

transdraft – SaaS for translators47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

transdraft – SaaS for translators

Hacker News1

ARBICHAT, S.L.33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SaaS B2C PPU de provisión de datos

TrustMRRFintech

Browse all products Analyze your launch