Geocoding and Map Tiles SaaS

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Hi everyone, We at NetToolKit are launching a new geocoding and map tile service and we would love your help. You can compare the accuracy of our geocoders against several others at https://www.nettoolkit.com/geo/demo and you can find out more about the service at https://www.nettoolkit.com/geo/landing . We’re looking for help primarily in two areas: assessing the accuracy of our geocoder and figuring out what it would take to sign up customers. For the first area, anyone who is familiar with US addresses can help by visiting https://www.nettoolkit.com/geo/demo , geocoding an address, and then confirming a result or adding a new set of coordinates. The user-submitted information gets recorded, which helps us figure out where any gaps might be. (Outside of the US, we simply return OpenStreetMap results; inside the US, however, we have done a lot of custom work, including integrating OpenAddresses.io data and the National Address Database.) For the second area, if you are in our target market (need geocoding services and/or map tiles and are cost-sensitive) or if you know someone who is, I’d really appreciate the opportunity to talk with you to understand what it would take for your team to seriously try out our services. If you have any feedback on the website or the comparison tool or if you have advice on how to sell the service, we’d appreciate it (email in profile). Thank you! The NetToolKit team

Visit product View on Hacker NewsJun 10, 2019

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

83%83% 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, new, email · Missing: mac, agents, macos

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

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

15%15% 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

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