Pollen VC Building A Digital Lending Business

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Pollen VC builds a digital lending business to help app developers access their app store earnings early. Their tech platform connects directly to app stores to price risk in real time. This allows developers to reinvest earnings daily into user acquisition instead of waiting 60+ days for platforms to pay out. Typically, developers fail to get early credit and can't acquire more users, but Pollen VC's new model provides funding using real-time app data to validate risk. They aim to fund more opportunities for long tail developers by improving access to working capital.

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按照原版制作【微信：176555708】【UNTEC毕业证（新西兰联合理工学院毕业证）成绩单offer】【微信：176555708】（留信学历认证永久存档查询）采用学校原版纸张（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：176555708】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：176555708】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份【微信：176555708】 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才 → 【关于价格问题（保证一手价格）我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！办理新西兰联合理工学院毕业证（UNTEC毕业证【微信：176555708】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。办理新西兰联合理工学院毕业证（UNTEC毕业证【微信：176555708】格式相对统一，各专业都有相应的模板。通常包括以下部分：校徽：象征着学校的荣誉和传承。校名:学校英文全称授予学位：本部分将注明获得的具体学位名称。毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。办理新西兰联合理工学院毕业证（UNTEC毕业证【微信：176555708】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。综上所述，办理新西兰联合理工学院毕业证（UNTEC毕业证【微信：176555708 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。

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Towards an Analysis-Ready, Cloud-Optimised service for FAIR fusion data

Samuel Jackson

We present our work to improve data accessibility and performance for data-intensive tasks within the fusion research community. Our primary goal is to develop services that facilitate efficient access for data-intensive applications while ensuring compliance with FAIR principles [1], as well as adoption of interoperable tools, methods and standards. The major outcome of our work is the successful creation and deployment of a data service for the MAST (Mega Ampere Spherical Tokamak) experiment [2], leading to substantial enhancements in data discoverability, accessibility, and overall data retrieval performance, particularly in scenarios involving large-scale data access. Our work follows the principles of Analysis-Ready, Cloud Optimised (ARCO) data [3] by using cloud optimised data formats for fusion data. Our system consists of a query-able metadata catalogue, complemented with an object storage system for publicly serving data from the MAST experiment. We will show how our solution integrates with the Pandata stack [4] to enable data analysis and processing at scales that would have previously been intractable, paving the way for data-intensive workflows running routinely with minimal pre-processing on the part of the researcher. By using a cloud-optimised file format such as zarr [5] we can enable interactive data analysis and visualisation while avoiding large data transfers. Our solution integrates with common python data analysis libraries for large, complex scientific data such as xarray [6] for complex data structures and dask [7] for parallel computation and lazily working with larger that memory datasets. The incorporation of these technologies is vital for advancing simulation, design, and enabling emerging technologies like machine learning and foundation models, all of which rely on efficient access to extensive repositories of high-quality data. Relying on the FAIR guiding principles for data stewardship not only enhances data findability, accessibility, and reusability, but also fosters international cooperation on the interoperability of data and tools, driving fusion research into new realms and ensuring its relevance in an era characterised by advanced technologies in data science. [1] Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3, 160018 (2016) https://doi.org/10.1038/sdata.2016.18 [2] M Cox, The Mega Amp Spherical Tokamak, Fusion Engineering and Design, Volume 46, Issues 2–4, 1999, Pages 397-404, ISSN 0920-3796, https://doi.org/10.1016/S0920-3796(99)00031-9 [3] Stern, Charles, et al. "Pangeo forge: crowdsourcing analysis-ready, cloud optimized data production." Frontiers in Climate 3 (2022): 782909. [4] Bednar, James A., and Martin Durant. "The Pandata Scalable Open-Source Analysis Stack." (2023). [5] Alistair Miles (2024) ‘zarr-developers/zarr-python: v2.17.1’. Zenodo. doi: 10.5281/zenodo.10790679 [6] Hoyer, S. & Hamman, J., (20

Big Data and Analytics Shaping the future of Payments

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Long-term oxygen therapy (LTOT) and novel techniques of evaluating treatment efficacy have enhanced the quality of life and decreased healthcare expenses for COPD patients. The cost of a pulmonary blood gas test is comparable to the cost of two days of oxygen therapy and the cost of a hospital stay is equivalent to the cost of one month of oxygen therapy, long-term oxygen therapy (LTOT) is a cost-effective technique of treating this disease. A small number of clinical investigations on LTOT have shown that it improves the quality of life of COPD patients by reducing the loss of their respiratory capacity. A study of 8487 Danish patients found that LTOT for 1524 hours per day extended life expectancy from 1.07 to 1.40 years.

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Pollen VC Building A Digital Lending Business

1. BUILDING A DIGITAL LENDING BUSINESS RITESH THADANI 1

2. BUILDING A DIGITAL LENDING BUSINESS Building a Digital Lending Business ABOUT POLLEN VC • Global App Marketplace is a $25Bn market growing to $142Bn within three years* • We help app developers unlock their app store earnings early to fuel growth and deploy venture capital more efficiently • New data-driven approach to lending - our tech platform connects directly to central billing system for digital products to price risk in real time *Source:Vision Mobile Developer Economics Survey Feb 2014 2

3. BUILDING A DIGITAL LENDING BUSINESS PROBLEM: PLATFORMS ONLY PAY OUT REVENUE UP TO 60+ DAYS AFTER YOU’VE EARNED IT. LAUNCH You’re earning money from day 1 This is your money trapped in the payment system Platforms release your cash… 3

4. BUILDING A DIGITAL LENDING BUSINESS Reinvest directly into advertising Acquire more users more quickly Draw down earnings on a daily basis A NEW WAY… 4

5. BUILDING A DIGITAL LENDING BUSINESS TYPICAL LAUNCH SCENARIO LAUNCH Fail to get credit with ad networks Can’t reinvest to acquire more users Get paid by platforms DOWNLOADS REVENUE Revenue/Downloads Jan 2015 Feb 2015 Mar 2015 Apr 2015 May 2015 Jun 2015 Jul 2015 5

6. BUILDING A DIGITAL LENDING BUSINESS 6

7. BUILDING A DIGITAL LENDING BUSINESS FUNDING FOR FINTECH Building a Digital Lending Business Amount $ Capital Markets Banks Family Ofﬁces Equity Capital Data/Model Validation 7

8. BUILDING A DIGITAL LENDING BUSINESS DIGITAL Creation and shipping of physical goods Invoices created at end of month and posted/emailed. Paid 30,45,60 day terms Advertising booked weeks in advance - eg TV campaigns, direct mailings Factoring/Discounting solutions available to shorten cycles at a cost App Store Marketplace - Real time economics Consumers purchase digital product real-time - billed to credit cards instantly Advertising purchased in real time through RTB exchanges Lack of ﬁnancial products eg invoice ﬁnancing 30 days is a long time. 60 days is an eternity! VS OLD WORLD COMPARISON PHYSICAL 8

9. BUILDING A DIGITAL LENDING BUSINESS STRUCTURE 9

10. BUILDING A DIGITAL LENDING BUSINESS GROWTH IN THE LONG TAIL Building a Digital Lending Business •c. 70,000 developers making more than $10k/year across iOS and Google Play •L-Shaped revenue curve is ﬂattening out •More opportunities for developers in the long tail •User acquisition becoming better understood 10

11. THANK YOU ritesh@pollen.vc @thadani Follow us at @PollenVC

Pollen VC Building A Digital Lending Business

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