"Thankful" is highly praised for its efficient customer support automation, which users say improves response times and enhances customer satisfaction. However, some complaints arise over the tool's occasional misinterpretation of complex customer queries. Pricing is generally viewed as competitive, aligning well with the features offered, although some users express a desire for more tier flexibility. Overall, "Thankful" maintains a solid reputation as a reliable customer service automation tool, with many endorsing its positive impact on support workflows.
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"Thankful" is highly praised for its efficient customer support automation, which users say improves response times and enhances customer satisfaction. However, some complaints arise over the tool's occasional misinterpretation of complex customer queries. Pricing is generally viewed as competitive, aligning well with the features offered, although some users express a desire for more tier flexibility. Overall, "Thankful" maintains a solid reputation as a reliable customer service automation tool, with many endorsing its positive impact on support workflows.
Features
Use Cases
Employees
14
Funding Stage
Series A
Total Funding
$15.0M
I'm a software engineer with a decade of experience. This is how I'd approach learning to build apps using Claude Code if I were starting from scratch today:
I'm going to describe a person this post is for, if this is you, I think I can be of some assistance: * you are new to coding * you are blown away by how it unlocks this magical ability that was previously inaccessible without years of training and effort * you've daydreamed of business and app ideas but never knew where to start before or how to build them * you've been vibe coding non-stop and burning through tokens * you're unsure about what's secure, how to structure the systems, and how systems are supposed to interact with each other. So, essentially the plumbing separate from the code itself: hosting, authentication, APIs, version control, testing, analytics, etc If any of this resonates with you, I think I can help! Now disclaimer: I'm *not* a pro at creating startups, acquiring users, marketing or any of that kind of stuff. Where I do have tons of professional experience is with the last bullet point above. And now onto it! This might be controversial, but if I were in your position I would *not* start with the code, the lowest level. In fact, I would do the opposite and start at the **highest level**. What does that mean? I'd argue that for people starting today, the most important thing is learning about the fundamentals of what makes a solid application at a high level. The system architecture. That's what I'll be covering for the rest of the post. What are the building blocks of a secure, full stack software application. There's so much to this that I'll stay high level for this one and go with breadth. If people are interested, I can (and honestly would love to) make dedicated posts on each of the topics I list below. So what is the main architecture for a software application? There are four main components and lots of specifics below each. 1. Front end -> this is what the user sees. The website, the mobile app, etc 2. Back end -> the main logic and rules of the app 3. Database -> where the data lives 4. The plumbing -> how everything connects and stays standing Of all of these, I could talk for hours, so to keep things brief, I think I'll focus on the highest impact and the biggest gap which is 4. The plumbing. Why? If you asked Claude, or whatever agent you use, to setup a front end, back end, and database it could do it quite easily. In fact, I'd imagine for apps you've vibe coded, it already has! There is tons to cover with the first three topics, but I think the plumbing is the area where getting some seasoned tips would help the most. # The Plumbing -> how everything connects and stays standing Here's where it gets real. When you vibe code something and it runs, it feels done. It looks done. But what you're looking at is the tip of the iceberg, the part above the water. The plumbing is everything below the waterline that nobody sees, but that decides whether your app is a weekend toy or something real people can actually trust with their data and their money. (It's also the part the AI will happily skip unless you know to ask for it. So this is the stuff worth knowing by name) I've grouped it into four questions. If you can answer these about your app, you're already ahead of most vibe coders shipping today. # How does everything talk to each other? Your frontend, backend, and database aren't one blob. They're separate pieces passing messages back and forth constantly. This is the part that's invisible but always running. At a high level, for most applications this is done via: * **APIs**: the set of "doors" your frontend uses to ask the backend for things ("give me this user's orders"). There are other ways, but this is the one you should probably focus on at first. # Where does it live, and how does it get online? Right now your app probably only exists on your laptop. Getting it onto the internet, and keeping it there, is its own thing. * **Hosting**: where your app actually runs so the world can reach it. This is where servers come into play. * **Domains & DNS**: your custom address (yourapp.com) and how it points to your servers. * **Deployment**: the pipeline that takes the code you wrote and safely publishes it for your users to see. * **Environment variables & secrets**: where you stash your passwords and API keys so they're not sitting in your code for the whole world to copy. People get burned by this constantly. # Who's allowed in, and is it safe? This is the one I'd beg you not to skip. The magic of vibe coding makes it dangerously easy to ship something insecure without realizing it. But don't fear! There are existing ways to do this (and not from scratch). * **Authentication**: how your app knows who someone is. The login. * **Authorization**: what someone's allowed to do once they're in. The difference between a normal user and an admin who can delete everything. * **Security**: the broad practice of not leaving doors unlocked. This one is the hardest because you can have security issues at every level of your stack. It's defin
View originalToken usage rate comparison between models
I am trying out claude code for the first time. I'm coming from github copilot (through VS2022) where I was using claude (and others) through that. Is there anything that outlines the usage rate between models with claude code (or claude in general)? GitHub would tell you "Claude Opus 4.7 - 14x" or "Claude Sonnet 4.6 - 1x" and it would give me an idea that opus 4.7 is going to chew through tokens 14 times faster than 4.6. Is there anything that gives you an idea of just how much more Opus 4.8 is compared to 4.7 or 4.6, for example? Just looking to make a better judgement call on which model I may want to use for a task. Thanks submitted by /u/syntax53 [link] [comments]
View originalCreating first app - Which is most efficient model to use
I have been in the software industry for 25 years, although the past 12 years have been in management and sales roles, so limited coding for a while. Having a full understanding of the software lifecycle, and with a desire to learn new AI skills, I have a great concept for a solution. I have casually used Claude for the past couple of years, but recently decided to invest in the Pro plan. My question is this... I would like to use Claude to create a business plan, develop a feasibility study, help architect the various modules of the app, and ultimately create a prototype. Which model should I use for each of these stages, being mindful of the token cost? Initially I would like to create the prototype myself to make sure it could be a viable product. If it turns out that it is, I could then get more professional developers involved. I don't mind paying beyond the Pro plan if needed. Thanks im advance! submitted by /u/5555Hexican [link] [comments]
View original5 Stars! Websites to Native Mobile App Plugin/Skills!
Small update: WebToMobile just hit 5 stars on GitHub 🎉 I know that’s tiny in internet numbers, but it means a lot because this started as a very specific problem: “Can we give AI coding agents a better workflow for turning websites into mobile apps?” Instead of asking Claude/Cursor/Codex to “make this website an app” and hoping for the best, WebToMobile gives the agent a structured path: - audit the website or repo - separate URL-only UI/UX work from real source-code migration - map web routes to mobile screens - identify reusable vs rewrite-required code - flag mobile-native gaps like auth, storage, cookies, OAuth, uploads, etc. - create a Markdown migration plan - wait for approval before writing code - build with Expo React Native - run QA/review checks The repo now includes commands for: - `/web-to-mobile` - `/mobile-resume` - `/mobile-scan` - `/mobile-review` - `/mobile-audit` - `/mobile-qa` It works best with a GitHub repo or local project, but live URLs can still be used for UI/UX planning. Repo: https://github.com/suntay44/web-to-mobile-magic-plugin Thanks to everyone who starred it or gave feedback. Next focus is making the install/update flow cleaner and improving framework coverage. submitted by /u/suntay44 [link] [comments]
View originalChooing the right options (Effort, Model, Thinking)?
Hi, new Claude user here. I know that more effort or better models lead to better results but with slower speed and more token use. But I don't really know the differences between choosing a better model, more effort or activate thinking. I'd be great if someone could provide an overview or link a good article on that. Thanks! submitted by /u/G_ntl_m_n [link] [comments]
View originalHelp with loop & goal.
Hi. I am having really weird problems running /loop & /goal I have been doing alot of work with both, running both Opus 4.7 & 4.8. Whenever I run either, it goes on for about 5-10 minutes, then it self paces and stops for an hour, finds a "unbeatable wall" or just randomly stops. I have the claude 20x Max plan, and limits are usually 5-10%, so not that. I also have 1Gbps internet, also tried prompting in a whole lot of ways, "don't stop, don't self pace, no indefinate walls" and similar. But it just keeps stopping and i have to write another prompt with same, until it stops again. Running Xhigh/ultracode effort. Thank you! submitted by /u/waggfagg [link] [comments]
View originalDispatch thread permanently stuck — server-side reset required (bug #54973)
Hello My dispatch thread on the Claude iOS app is permanently stuck in an error loop and I need a server-side reset. Error message displayed: "API Error: Usage credits required for 1M context · turn on usage credits at , or use –model to switch to standard context" Plan: Claude Max Device: iPhone (iOS app) Troubleshooting already attempted: - Force-quit and reopened the iOS app - Reinstalled the iOS app - Logged out and back in - Toggled Dispatch off and on in settings - Accessed claude.ai via Safari (works fine, but the Dispatch thread remains stuck) - Opened Claude Code on Windows PC — working normally with Sonnet 4.6 Root cause (as I understand it): The Dispatch thread appears to have been initiated with a Max model session using 1M extended context. The thread is now in an unrecoverable loop. Since Dispatch uses a single persistent server-side thread with no client-side state, there is no local file to delete and no self-service reset option in the iOS app. This matches the known bug reported at: https://github.com/anthropics/claude-code/issues/54973 As documented in that issue: reinstalling the iOS app does not reset state, and there is no 'delete thread' / 'clear history' / 'new Dispatch' UI available. Requested action: Please reset or clear my Dispatch thread server-side so I can start a fresh session. Thank you. submitted by /u/Strong_Ad297 [link] [comments]
View originalOpus 4.6 vs. 4.7 vs. 4.8
Hi everyone. Pretty new to Claude, only been using it a few months. I'm using Cowork mostly, and I just wanted to ask some questions to people who have way more expertise than I do in terms of what I'm seeing on my side. In general, I was so happy with Opus 4.6. Never in my life have I felt so confident performing work. With 4.7, it was truly a step down, in my opinion, at least for the stuff I was working on. With 4.8 recently out, I can't tell you, because, to be honest, it's burning tokens so fast I can't even assess it. It does seem better than 4.7 from what I can tell, but I just don't feel confident using anything besides Opus 4.6, and I guess I'm pretty worried they're gonna get rid of it at some point. Just wondering if I could get the opinions of folks here who are obviously much more well-versed in using the product than I am? Thank you so much in advance. I really appreciate all the help. I'm a non-technical person who works in marketing, trying really hard to learn the product and improve my work flows and my life. submitted by /u/WillPowerVSDestiny [link] [comments]
View originalDifferences Between Opus 4.7 and Opus 4.8 on MineBench
Some Notes: Average Inference Time: 24.8 min (1,487seconds) Total Cost (for 15 builds): $41.52 Much cheaper than Opus 4.7 was, despite having the same API pricing The CoT / thinking times have clearly been streamlined (similar to what OpenAI has been doing with their latest releases) which lowers overall cost, but despite that, the output seems better than Opus 4.7, so that's good This is, in my opinion, one of the first Claude models in a long time that actually feels like a genuinely impressive release; its builds are actually of similar quality to GPT 5.5, though a bit more inconsistent During generation, the model had to retry 5 builds due to either hallucinations with the given block palette (it used blocks which were not available) or malformed outputs That's pretty on par with the Claude models, though the adaptive thinking seems to work better this time around (in previous attempts the model would spend all of it's output tokens for CoT and not have enough left over to finish its actual JSON output) In my opinion, Opus 4.8 is a clear improvement over Opus 4.7 (or maybe it's what Opus 4.7 was supposed to be originally 🤷♂️) Feel free to see all the other updates on the GitHub release (thanks for the suggestion!) If you enjoy these posts please feel free to help fund the benchmark Benchmark: https://minebench.ai/ Git Repository: https://github.com/Ammaar-Alam/minebench Previous Posts: Comparing GPT 5.4 and GPT 5.5 Comparing Kimi K2.5 and Kimi K2.6 Comparing Opus 4.6 and Opus 4.7 Comparing GPT 5.4 and GPT 5.4-Pro Comparing GPT 5.2 and GPT 5.4 Comparing GPT 5.2 and GPT 5.3-Codex Comparing Opus 4.5 and 4.6, also answered some questions about the benchmark Comparing Opus 4.6 and GPT-5.2 Pro Comparing Gemini 3.0 and Gemini 3.1 Extra Information (if you're confused): Essentially it's a benchmark that tests how well a model can create a 3D Minecraft like structure. So the models are given a palette of blocks (think of them like legos) and a prompt of what to build, so like the first prompt you see in the post was a fighter jet. Then the models had to build a fighter jet by returning a JSON in which they gave the coordinate of each block/lego (x, y, z). It's interesting to see which model is able to create a better 3D representation of the given prompt. The smarter models tend to design much more detailed and intricate builds. The repository readme might provide might help give a better understanding. (Disclaimer: This is a public benchmark I created, so technically self-promotion :) submitted by /u/ENT_Alam [link] [comments]
View originalAnyone else having ChatGPT voice input freezing/crashing on Firefox (Windows PC)?
I've been running into a frustrating issue with ChatGPT voice input over the last couple of weeks and I'm wondering if anyone else has seen it or found a workaround. Setup: ChatGPT in the Firefox browser on a Windows laptop I frequently use longer voice dictation inputs The issue seems to have started around the time the voice input animation/UI changed (it used to show more of a waveform-style animation, now it shows the vertical line animation) What's happening: I'll start a voice recording normally. If I switch to another browser tab, another window, or another application and then come back to ChatGPT, the voice recording will often appear frozen. The animation stops moving and the recording seems stuck. The checkmark/submit button often becomes unresponsive. In many cases, I lose the entire recording. Odd behavior: Sometimes, if I leave the frozen recording alone for 30–60+ seconds, it will slowly start responding again. The animation begins moving, the checkmark becomes clickable, and eventually the transcription populates successfully. However, this doesn't happen every time. Many recordings are simply lost. Because I use long voice inputs, this has become pretty disruptive and has cost me a lot of dictated content. I've attached a couple of videos: An example showing the voice recording completely frozen. The same recording eventually recovering after waiting over a minute before the transcription finally appeared. Has anyone else experienced this recently or found any workarounds? Appreciate any input or advice. Thanks in advance for any help. submitted by /u/-SpaghettiCat- [link] [comments]
View originalStick with Opus 4.6 Low or upgrade to 4.8 Low?"
What's up everyone, Lolito here (only Spanish people will understand). As a true 4.6 lover, I'm still using Opus 4.6 Low for my projects. I saw a lot of hate for 4.7 in the first few days, but I haven't seen much about Opus 4.8 yet (at least nothing serious, except for one dude saying it was 'too honest'). Should I upgrade to 4.8 Low, or just stick with 4.6 Low? Thanks in advance <3 submitted by /u/SrPakura [link] [comments]
View originalAny Desktop usage monitors? (NOT Code/Cowork)
Hi all, I'm on a restricted Enterprise plan (Meaning I can't use Code or Cowork). I want to use a usage monitor but all the usage monitors I see on GitHub are all labelled for Claude Code. I exclusively use Claude Desktop. Can any recommend the least intrusive publically-available open-sourced(?) one that'll work on Claude Desktop? Note: It'll be getting installed on my employee laptop, so can't require admin rights. Thanks. submitted by /u/LTP-N [link] [comments]
View originalDeepeseek inside claude code -Easist way
For those who cant afford claude models and wanna use claude code, deepseek v4 pro is closest best and cheapest option. How to use deepseek API inside claude code (easist way ever): We will use AI to replace AI. Just feed your existing claude code this prompt "Yo Claude, you’re expensive af 💀 Do everything needed to fully switch Claude Code to DeepSeek API automatically. Set up the complete settings.json config, API integration, model selection, base URL, env variables, testing, debugging, and optimization for low cost + strong coding performance. Use this DeepSeek API key: "sh......................" Make it fully working, minimal, and production ready." Thats it! Thank me later! submitted by /u/Agreeable-Pen-9763 [link] [comments]
View originalFeedback honeypot in Claude Code has evolved
As we know, Anthropic buried in the T&C that even if we globally opt out of model training, they will train on our data / chats if we "provide feedback" to them. This is why Claude Code has the "How is Claude doing (optional)?" honeypot that will submit a response if you type 1, 2, 3, 4, or 0 (and apparently hitting 0 to dismiss is counted as feedback, according to a complaint I read, but I don't have a way to confirm that). Now I have started seeing something worse, a prompt "Can Anthropic look at your session transcript?" and the responses are conditioned on pressing the letter keys that you'd be more likely to press accidentally (y for yes, n for no, and d for dismiss). When I pressed "n", Claude Code displayed a message, "Thanks for your feedback!" which absurdly implies that responding "No" is being counted as feedback per T&C and that they're going to steal the data for training. Furthermore, it's unclear if pressing "d" for "Do not show again" is going to be implicitly processed as universal consent (as if it means "yes, you can always look at my transcripts"). How does everyone feel about the lack of clarity and insertion of prompts that act as honeypots to override our global privacy settings? submitted by /u/lmk99 [link] [comments]
View originalClaude Pro or ChatGPT Plus
Hello everyone! I’m a high school student trying to decide which $20/month plan is the best fit for my specific workflow. I don’t code much yet, but I’m actively trying to learn, with a long-term focus on cybersecurity and finding code exploits. Typical daily cases: Heavy research utilizing a massive amount of sources. General studying and school tasks. A lot of advanced mathematics. I’ve tested both ChatGPT Plus and Claude Pro, but I’m still stuck on which one to commit to. Based on my testing this is what I found out. Claude Pro (Opus 4.8): It beats ChatGPT at writing, structuring arguments, and deep source-heavy research but the message limits are quite strict, and it's easy to hit them. ChatGPT Plus (GPT-5.5 / Thinking): It is generous with its usage limits and has a noticeably stronger foundation for advanced math. Since I only want to pay for one subscription, I'm leaning toward one of two hybrid setups: Option 1: Paid ChatGPT Plus + Free Claude I make ChatGPT Plus my daily driver to handle my heavy math load and high-volume queries without worrying about limits. When I need complex text beautifully written or structured, I'll run it through the free tier of Claude (Sonnet). Option 2: Paid Claude Pro + Free ChatGPT I pay for Claude Pro to get access to Opus 4.8's awesome research and writing capabilities. I just accept the strict rate limits and use the free version of ChatGPT as a general "google" machine when Claude cuts me off. I know this is the Claude subreddit, but I’d really appreciate some neutral, practical feedback. Given my mix of heavy math, deep research, and wanting to learn cybersecurity, which setup makes the most sense? Thanks in advance! submitted by /u/Scatard [link] [comments]
View originalNew to coding, what’s the workflow you recommend? This is mine…
I’m a non-developer founder building a SaaS product (web app, TypeScript/Next.js/Postgres stack) mostly through Claude. I have decent architectural intuition but I don’t write code by hand, so I lean heavily on Claude for implementation and on a docs-first process to keep things solid. The workflow I’ve ended up with, over a few months: - Claude Code does the actual implementation, one step at a time. - I run a second Claude chat as an “orchestrator” that drafts the prompts/plans and reviews the code before it ships. - I run a third Claude chat as a “cross-check reviewer” that independently verifies the diff against the plan before I commit. - I’m the one who actually runs every git push, after both review layers sign off. On top of that I keep architecture decision records (ADRs), a running project-state doc, and a “patterns” file where I write down recurring lessons (e.g. how to avoid a class of editing bug, when to bundle vs split commits). It catches a lot of real issues before they ship. But it’s also slow, some days feel heavier on review ceremony and documentation than on actual code progress. Questions for people who’ve built more than me: 1. Is multi-agent review (one model implements, others review) worth it, or is it overkill for a solo project? 2. How much process is right for a non-developer who wants solid code but also needs to actually ship? 3. What does your Claude-assisted workflow look like, and what would you cut from mine? Genuinely open to “you’re overthinking this.” Trying to find the right balance. Thanks. submitted by /u/sorinmx [link] [comments]
View originalKey features include: Automated response generation, Sentiment analysis for customer interactions, Multi-channel support (email, chat, social media), Customizable response templates, Real-time analytics and reporting, Integration with CRM systems, AI-driven knowledge base suggestions, 24/7 customer support automation.
Thankful is commonly used for: Handling frequently asked questions, Providing instant support for common issues, Reducing response time for customer inquiries, Enhancing customer engagement through personalized interactions, Automating ticket creation for unresolved issues, Gathering customer feedback through automated surveys.
Thankful integrates with: Salesforce, Zendesk, Shopify, Slack, HubSpot, Microsoft Teams, Intercom, Mailchimp, Facebook Messenger, WhatsApp.
Based on user reviews and social mentions, the most common pain points are: token cost, token usage, API bill, openai bill.
Clara Shih
CEO at Salesforce AI
3 mentions
Based on 282 social mentions analyzed, 4% of sentiment is positive, 95% neutral, and 1% negative.
