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An MCP server that provides comprehensive market intelligence by analyzing data from both the Apple App Store and Google Play Store. Get insights about apps, market trends, competitors, and user feedback across the major mobile app marketplaces.


I recently built a tool that automatically analyzes App Store & Google Play reviews using AI. It extracts key pain points, categorizes feedback, and performs sentiment analysis—saving time for PMs and devs who usually sift through thousands of comments manually. The idea came from my own frustration working with app feedback—it's often scattered, time-consuming to process, and difficult to turn into actionable insights. Would love to hear thoughts from this community: Do you think this is a real pain point? How do you currently analyze app reviews? What would make such a tool useful for you? The tool is still in early testing, https://insightly.top Looking forward to feedback!


How do you identify bots and low quality reviews in general? I believe the problem exists, but I'm afraid the problem is that the platforms who perform reviews with high quality reviewers don't have enough reviewers for the reviews to appear centralized enough to be useful.


Hi HN,

I recently built a tool that automatically analyzes App Store & Google Play reviews using AI. It extracts key pain points, categorizes feedback, and performs sentiment analysis—saving time for PMs and devs who usually sift through thousands of comments manually.

The idea came from my own frustration working with app feedback—it's often scattered, time-consuming to process, and difficult to turn into actionable insights.

Would love to hear thoughts from this community:

Do you think this is a real pain point? How do you currently analyze app reviews? What would make such a tool useful for you? The tool is still in early testing—happy to share access if anyone is interested.

Looking forward to feedback!


Are you an experienced professional aiming to enhance your career prospects? Regardless of your industry, ResumeBoost is here to guide you in creating a customized resume tailored to your unique style and experience level. This open-source project, powered by ChatGPT, empowers you to stand out in the competitive job market.

We recognize that crafting the ideal resume can be a daunting task. ResumeBoost is designed to assist professionals across various industries. We offer personalized guidance and adjust your resume to your individual style, experience level, and industry. Here's how ResumeBoost can elevate your career:

Step 1: Personalized Guidance

We begin by collecting fundamental information about your background and career objectives. We delve into your work history, inquiring about your previous positions, duties, and accomplishments. If you've participated in significant projects, we'll ensure they receive the attention they deserve. We document your educational background and any pertinent certifications or patents. We explore your skillset, emphasizing both technical and soft skills. If you have any additional information you'd like to include, feel free to share!

Step 2: Targeted Job Description

To create an ATS (Applicant Tracking System)-friendly resume, we require the job description you're aiming for. This helps us integrate pertinent keywords and phrases.

Step 3: Build Your Resume

Armed with the information you've provided, we'll generate your resume in markdown format. Your resume will feature a compelling summary, a list of technical skills, and a showcase of your soft skills. We prioritize accuracy and ensure your resume faithfully represents your qualifications, refraining from exaggerations or fabrications.

Step 4: Resume Analysis

We'll assess your resume against the job description you've provided. Your resume will be assigned a score, ranging from 0 to 100, reflecting its alignment with the job requirements. Getting Started with ResumeBoost

To commence the creation of your personalized resume, simply type /start. If you wish to modify any preferences, such as your industry or tone style, utilize the /config command. Curious about what your resume might look like for a specific job? Try /example and supply the job description. Your dream job is within reach, and it starts with your resume. Join ResumeBoost now and leverage the power of open source to elevate your career!


Do people really read GPT generated wall of text like this?


Wondering how you can tell it's GPT generated? yes, it's, it does a great job.


NPS is a tunnel service similar with Ngrok, it’s a reverse proxy used to access local service behind the NAT/Firewall. If you are running self-hosted service like Lomorage at home, and you are outside and want to access Lomorage, then you can use NPS.

However NPS need to run somewhere with public access, there are lots of service providers there, fly.io has a free plan without binding any credit card, and it supports docker deployment, and the servers runs in datacenters around the world so that the service can be deployed close to the users.


Please check https://lomorage.com

- Importing photos should be as easy as drag and drop or "add directory".

Check Lomorage web app and import tool.

- Images in the library should be mirrored to an internal store independent of the greater filesystem.

The storage can be on the external hard drive or remote mounted device.

- It needs to support rich tagging. Images should be easily enumerable by tag.

Tag will be added.

- It needs to store all metadata in a central database or file that I can easily distribute and back up. (As opposed to writing the data into the images directly.) It would be nice if the primary keys to image were signature-based rather than filename (and especially not full file path) as it could live on different systems.

All the metadata is stored in sqlitelite database and backup daily.

- Group by GPS coordinates would be nice. Even better if it can pull the location name.

GPS location already processed and stored in DB, currently support search by location, will add map view.

- Group by date taken.

The default view is by date taken, in reverse order, latest first.

- Find or automatically ignore/remove duplicates.

dedup done by file hash, also support similar photo dedup by using perception hash, will add in smart album.

- Support for a NAS or cloud backup would be fantastic. Especially if it also backs up the database.

Support redundancy backup with network mount.

- It should generate pre-computed thumbnails so scrolling a large library doesn't show blank images, but keep them off to the side so it doesn't impact backup.

- It should have RAW support, but doesn't need editing/adjustment capabilities. (If not available, I suppose I could pre-process the RAWs.)

Support iPhone dng raw format, others can be added.

- Video support would be extremely nice too, but it doesn't need to have any editing or miscellaneous features.

Support popular video formats supported on Android and iOS

- It would be nice to keep galleries separate, or at least in different namespaces so I can reuse tags. Family, real estate, conceptual/renders, etc.

Current support album and folders, the same concept with those on iPhone.

- Replication across multiple devices would be a nice to have, especially if it can update tags and metadata across machines.

Backup photos/videos and also metadata database on 2nd storage.

- Open source would be nice, but I'd be happy with paid/commercial software if it did what I wanted.

- Multiplatform support (Linux, Windows, Mac) would be extremely nice. Even nicer if it supports mobile too.

Multiple platform support, and has native mobile apps as well.

- It should be snappier than a web-based gallery.

Mobile first + Web APP

- That said, internet web access (like photos.google.com) would be killer.

Support external access via ngrok or other similar tunnel service, can also open port mapping on home router if having public ip address.


Hard drives with multiple copies in different places, and you need software to manage those photos and video for you, google Picasa was good in the old days, until google kills and replace with google photo. All major players provide photo cloud service, and for some people think the problem is solved, while some believe the digital assets should be taken care by themselves, store locally, backup locally, that is the primary, and cloud backup is the tertiary backup, a good complementary.

The price of existing cloud storage is too high, and some of the companies(Shoebox, Canon Irista) doing the business gradually shutdown the services, this is a money losing business, it’s not the efficient way to manage huge amount of assets centralized (flicker CEO’s open letter sent last year confirmed this), they have to either make it more expensive, or make you the product. Cloud service is convenient for the user, people don’t need to buy expensive hardware, don’t need to be the professionals to maintain that, don’t need to worry about the energy fee to keep it run 24x7, but things are changing, single board computers are getting cheaper, more powerful and more energy efficient, storage are getting cheaper with larger capacity, software are getting more intelligent, people are having more and more concerns about the privacy, it’s now viable to host the Photo service, your private cloud, at your own place.

There are tons of open source alternatives there, but non of them provide competitive features like google photo, even though there are some backend services like photoprism that does a very good job on indexing the photo with AI, however the mobile APP is missing, and google also has the ecosystem to show photo/video on google home and chromecast.

We've been building Lomorage (https://lomorage.com) trying to fill the gap, it's easy to setup a self hosted service(Still need a lot of work to make it easy for non tech users), cross platform, has iOS and Android mobile APP, can setup multiple accounts, some basic AI search(not polished and need more work), there are other features missing, but it's stable enough for daily use. Would appreciate you try it out and give some feedback.


Add https://lomorage.com, self hosted, cross platform, mobile friendly, support multiple accounts, and login from multiple devices.


You can check Lomorage, it is lightweight and you can host it on cheap Orange Pi Zero (and other SBC as well like this cheap rock64 https://www.amazon.com/dp/B0868WSTXH?psc=1&ref=ppx_yo2_dt_b_...) and run it 7x24. Lomorage comes with Android and iOS APP, easy for backup review and share with family, and WebAPP is still very basic and mainly can be used for import existing photos. AI features is added on iOS but need more refine on UI, currently you can search by text, object, location, it doesn't support face recognition but it's on the roadmap.

https://docs.lomorage.com/docs/Highlight/

You can also check the user pain points survey here: https://lomorage.com/survey/, if you take the survey you should be able to check the result. And another survey result is available, you can use Google translation to check the result: https://www.wenjuan.com/r/n/2f4545567028ee7ba28192f5e0cdb498, it's Chinese version and you can use chrome to translate to English, right click and choose "Translate to English", this survey should cover diverse people with different ages and backgrounds.

Hope this is helpful, thanks for reading!


For those who would like to self hosted on SBC, worth to give Lomorage a try, the service is very lightweight and can run on cheap 512M Orange Pi Zero. Check it out at https://lomorage.com, and OrangePi Zero Setup, https://tinyurl.com/368krs7b


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