Home / Recipes / Data Hoarder ๐ How to Make Data Hoarder in Infinite CraftData Hoarder is a long haul. Even on the shortest known route it takes 39 combinations to get there, and the final one is Data Factory plus Subreddit. Expect to build several intermediate elements you will never use again.
The final combination
๐ญ๐ Data Factory+ ๐ฌ Subreddit= ๐ Data Hoarder
Marathon 39 steps from the base elements ยท crafting depth 54
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What is worth knowing At 39 steps it is longer than 97% of solved elements, which puts it in our marathon band. Its crafting depth of 54 is unusually deep. Depth counts the longest chain needed to reach it, and most elements people search for sit well below this. Full crafting path from the base elements Start with Water, Fire, Wind and Earth, then follow these 39 combinations in order.
1 ๐ฅ Fire+ ๐ง Water= ๐จ Steam2 ๐จ Steam+ ๐จ Wind= โ๏ธ Cloud3 ๐ Earth+ ๐จ Wind= ๐ซ๏ธ Dust4 ๐ซ๏ธ Dust+ ๐ Earth= ๐ช Planet5 ๐ฅ Fire+ ๐ช Planet= โ๏ธ Sun6 ๐ฅ Fire+ โ๏ธ Sun= โ๏ธ Solar7 ๐ช Planet+ โ๏ธ Solar= ๐ป System8 ๐ฅ Fire+ ๐ป System= ๐ป Computer9 โ๏ธ Cloud+ ๐ป Computer= โ๏ธ Cloud Computing10 ๐ง Water+ ๐ง Water= ๐ Lake11 โ๏ธ Cloud Computing+ ๐ Lake= ๐๐๏ธ Data Lake12 ๐ Earth+ ๐ง Water= ๐ฑ Plant13 ๐ฅ Fire+ ๐จ Wind= ๐จ Smoke14 ๐ฑ Plant+ ๐จ Smoke= ๐ฏ๏ธ Incense15 ๐ง Water+ ๐จ Wind= ๐ Wave16 ๐ Earth+ ๐ Wave= ๐๏ธ Sand17 ๐ฅ Fire+ ๐๏ธ Sand= ๐ฅ Glass18 ๐ฅ Fire+ ๐ฅ Glass= ๐ Lens19 ๐ Lens+ ๐ง Water= ๐ฌ Microscope20 ๐ฏ๏ธ Incense+ ๐ฌ Microscope= ๐ฌ Science21 ๐๐๏ธ Data Lake+ ๐ฌ Science= ๐ Data Science22 ๐ Earth+ ๐จ Steam= ๐ฉ Mud23 ๐ฅ Fire+ ๐ฉ Mud= ๐งฑ Brick24 ๐งฑ Brick+ ๐ฅ Fire= ๐งฑ Kiln25 ๐ฅ Fire+ ๐จ Steam= ๐ Engine26 ๐ Engine+ ๐จ Wind= ๐ฌ๏ธ Windmill27 ๐งฑ Kiln+ ๐ฌ๏ธ Windmill= ๐ญ Factory28 ๐ Data Science+ ๐ญ Factory= ๐ญ๐ Data Factory29 ๐ฑ Plant+ ๐จ Wind= ๐ผ Dandelion30 ๐ผ Dandelion+ ๐ Earth= ๐ธ Flower31 ๐ Earth+ ๐ฑ Plant= ๐ณ Tree32 ๐ณ Tree+ ๐ง Water= ๐ River33 ๐ Earth+ ๐ River= โฌ๏ธ Delta34 ๐จ Wind+ ๐จ Wind= ๐ช๏ธ Tornado35 ๐ช๏ธ Tornado+ ๐ง Water= ๐ Tsunami36 ๐ป Computer+ ๐ Tsunami= ๐ Internet37 โฌ๏ธ Delta+ ๐ Internet= ๐พ Reddit38 ๐ธ Flower+ ๐พ Reddit= ๐ฌ Subreddit39 ๐ญ๐ Data Factory+ ๐ฌ Subreddit= ๐ Data HoarderCrafting tree 1 Fire + Water โ Steam 2 Steam + Wind โ Cloud 3 Earth + Wind โ Dust 4 Dust + Earth โ Planet 5 Fire + Planet โ Sun 6 Fire + Sun โ Solar 7 Planet + Solar โ System 8 Fire + System โ Computer 9 Cloud + Computer โ Cloud Computing 10 Water + Water โ Lake 11 Cloud Computing + Lake โ Data Lake 12 Earth + Water โ Plant 13 Fire + Wind โ Smoke 14 Plant + Smoke โ Incense 15 Water + Wind โ Wave 16 Earth + Wave โ Sand 17 Fire + Sand โ Glass 18 Fire + Glass โ Lens 19 Lens + Water โ Microscope 20 Incense + Microscope โ Science 21 Data Lake + Science โ Data Science 22 Earth + Steam โ Mud 23 Fire + Mud โ Brick 24 Brick + Fire โ Kiln 25 Fire + Steam โ Engine 26 Engine + Wind โ Windmill 27 Kiln + Windmill โ Factory 28 Data Science + Factory โ Data Factory 29 Plant + Wind โ Dandelion 30 Dandelion + Earth โ Flower 31 Earth + Plant โ Tree 32 Tree + Water โ River 33 Earth + River โ Delta 34 Wind + Wind โ Tornado 35 Tornado + Water โ Tsunami 36 Computer + Tsunami โ Internet 37 Delta + Internet โ Reddit 38 Flower + Reddit โ Subreddit 39 Data Factory + Subreddit โ Data Hoarder
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Data Hoarder at a glance
Steps to craft 39 Marathon
Crafting depth 54 longer than 97% of solved elements
Known recipes 1 only one way
Used in 0 other combinations Other elements that take 39 steps Similar effort to Data Hoarder, if you want something else to chase.
Frequently asked questions How do you make Data Hoarder in Infinite Craft? Combine Data Factory with Subreddit. The full path from the base elements takes 39 steps.
How many steps does it take to make Data Hoarder? 39 steps on the shortest known path from Water, Fire, Wind and Earth.
Is Data Hoarder hard to make in Infinite Craft? It rates as marathon. At 39 steps it is longer than 97% of solved elements.
Is there more than one way to make Data Hoarder? Only one known combination produces Data Hoarder.
Path verified against the open recipe graph on 2026-10-23 . Method described in our methodology , data credited on data sources .