Palworld Breeding Calculator – Breeding Tree and Combination Visualizer

Hacker News

Hi HN! I’m an indie dev who got hooked on Palworld’s breeding system and built a tool to make planning less painful: What it does Forward calc: Pick two parents → instantly see the child. Reverse lookup: Enter a target Pal → list all valid parent pairs. Shortest-step planner: I model breeding as a graph and run a shortest‑path algorithm (Dijkstra/BFS variant) to find the minimal number of breeding steps from what you already own to the target. Breeding tree visualizer: Expand/collapse an interactive tree of combos to understand the route at a glance. Combination browser: Search/filter all possible parent-child sets. Tech bits Next.js + static JSON data (scraped/cleaned from public sources), deployed on Vercel/Cloudflare. Precomputed indices for fast reverse lookups; client-side memoization and caching. Graph layer treats each Pal as a node; edges represent “(A,B) → C” relationships. Since that’s technically a hyperedge, I flatten it into a weighted graph so a shortest-path algorithm can run efficiently. No trackers/popups; just a single AdSense slot (feedback welcome on this). What I’d love feedback on UX: Is the flow from “I have X and want Y” smooth enough? Performance/mobile: Any obvious bottlenecks? Data correctness: Spot inaccuracies or missing combos? Link: https://www.palworldbreedingcalculator.org/ Thanks for reading! I’ll be around to answer questions and ship fixes quickly.

Visit product View on Hacker NewsJul 23, 2025

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

87%87% 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: ide, io · Missing: https docs, excited, just released

57%57% 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 · Strong signals: model, visual, single · Missing: mac, agents, macos

54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

16%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, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Binary Tree Traversal Visualizer59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Binary Tree Traversal Visualizer

Hacker News3

Expression calculator and tree structure visualizer62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Expression calculator and tree structure visualizer

Hacker News4

I wrote an online binary tree visualizer60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I wrote an online binary tree visualizer

Hacker News3

Dynamic dependency-tree visualizer with flowchart.fun42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dynamic dependency-tree visualizer with flowchart.fun

Hacker News6

Angular 2 AoT Compilation and Tree Shaking Example46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Angular 2 AoT Compilation and Tree Shaking Example

Hacker News9

Implementation of a 3-pointer AVL Tree46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Implementation of a 3-pointer AVL Tree

Hacker News2

A RegEx DFA and NFA visualizer58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A RegEx DFA and NFA visualizer

Hacker News2

Equation Visualizer57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Equation Visualizer

Hacker News1

KD-tree recommender system in Literate Coffeescript49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

KD-tree recommender system in Literate Coffeescript

Hacker News2

Apache HiveQL AST Visualizer36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Apache HiveQL AST Visualizer

Hacker News3

Browse all products Analyze your launch