Gem brings together your ATS, CRM, sourcing, scheduling, and analytics — plus 800+ million profiles to source from — with AI built into every workflow
Users generally praise Gem for its strong feature set and high performance, with multiple users rating it 4 or 5 out of 5 on g2. However, some users express dissatisfaction with occasional usage limits and possible pricing concerns, hinted by mentions of price reductions and deliberations over the value of paying premium prices for advanced features. Overall, Gem holds a positive reputation, viewed favorably in both reviews and social mentions, though its pricing strategy may warrant reassessment to better meet user expectations.
Mentions (30d)
5
Avg Rating
4.1
20 reviews
Platforms
8
Sentiment
21%
21 positive
Users generally praise Gem for its strong feature set and high performance, with multiple users rating it 4 or 5 out of 5 on g2. However, some users express dissatisfaction with occasional usage limits and possible pricing concerns, hinted by mentions of price reductions and deliberations over the value of paying premium prices for advanced features. Overall, Gem holds a positive reputation, viewed favorably in both reviews and social mentions, though its pricing strategy may warrant reassessment to better meet user expectations.
Features
Use Cases
Industry
information technology & services
Employees
150
Funding Stage
Series C
Total Funding
$148.1M
OpenAI’s Game-Changing o1 Description: Big news in the AI world! OpenAI is shaking things up with the launch of ChatGPT Pro, priced at $200/month, and it’s not just a premium subscription—it’s a glim
OpenAI’s Game-Changing o1 Description: Big news in the AI world! OpenAI is shaking things up with the launch of ChatGPT Pro, priced at $200/month, and it’s not just a premium subscription—it’s a glimpse into the future of AI. Let me break it down: First, the Pro plan offers unlimited access to cutting-edge models like o1, o1-mini, and GPT-4o. These aren’t your typical language models. The o1 series is built for reasoning tasks—think solving complex problems, debugging, or even planning multi-step workflows. What makes it special? It uses “chain of thought” reasoning, mimicking how humans think through difficult problems step by step. Imagine asking it to optimize your code, develop a business strategy, or ace a technical interview—it can handle it all with unmatched precision. Then there’s o1 Pro Mode, exclusive to Pro subscribers. This mode uses extra computational power to tackle the hardest questions, ensuring top-tier responses for tasks that demand deep thinking. It’s ideal for engineers, analysts, and anyone working on complex, high-stakes projects. And let’s not forget the advanced voice capabilities included in Pro. OpenAI is taking conversational AI to the next level with dynamic, natural-sounding voice interactions. Whether you’re building voice-driven applications or just want the best voice-to-AI experience, this feature is a game-changer. But why $200? OpenAI’s growth has been astronomical—300M WAUs, with 6% converting to Plus. That’s $4.3B ARR just from subscriptions. Still, their training costs are jaw-dropping, and the company has no choice but to stay on the cutting edge. From a game theory perspective, they’re all-in. They can’t stop building bigger, better models without falling behind competitors like Anthropic, Google, or Meta. Pro is their way of funding this relentless innovation while delivering premium value. The timing couldn’t be more exciting—OpenAI is teasing a 12 Days of Christmas event, hinting at more announcements and surprises. If this is just the start, imagine what’s coming next! Could we see new tools, expanded APIs, or even more powerful models? The possibilities are endless, and I’m here for it. If you’re a small business or developer, this $200 investment might sound steep, but think about what it could unlock: automating workflows, solving problems faster, and even exploring entirely new projects. The ROI could be massive, especially if you’re testing it for just a few months. So, what do you think? Is $200/month a step too far, or is this the future of AI worth investing in? And what do you think OpenAI has in store for the 12 Days of Christmas? Drop your thoughts in the comments! #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #o1 #o1pro #chatgpt #2025 #christmas #holiday #12days #cursor #replit #pythagora #bolt
View originalPricing found: $720
g2
What do you like best about Gem?The efficiency of integrating it with LinkedIn is great, and the most valuable thing is that we can automate sending emails. Review collected by and hosted on G2.com.What do you dislike about Gem?The pricing feels too high, and at times the place can feel crowded. Review collected by and hosted on G2.com.
What do you like best about Gem?I like Gem for its diversified sourcing, which provides profiles from various industries and skills. The UX is well and good, and the initial setup was nice. Review collected by and hosted on G2.com.What do you dislike about Gem?UI' Review collected by and hosted on G2.com.
What do you like best about Gem?I find the sourcing capability of Gem to be really impressive. It automates sourcing and simplifies identifying candidates that match our criteria, which helps us connect with candidates efficiently. This feature saves us a lot of time because instead of doing it manually, we can do it on a large scale. It helps us identify top talent quickly so we don't lose them to competitors. Also, setting up Gem was super easy, which was very impressive as I've worked with many other tools that are complicated and time-consuming to implement. Review collected by and hosted on G2.com.What do you dislike about Gem?We have not had it long, and nothing stands out for us. It’s such an upgrade from nothing. Review collected by and hosted on G2.com.
What do you like best about Gem?I like using Gem for interviews because it makes the process the easiest I've experienced in a while. The process was smooth and very friendly. Setting up Gem was super easy, which I really appreciated. Review collected by and hosted on G2.com.What do you dislike about Gem?I think it could be a shorter process. Review collected by and hosted on G2.com.
What do you like best about Gem?I like how easy it is to use and the clean interface. Review collected by and hosted on G2.com.What do you dislike about Gem?Some features are limited unless you upgrade to a paid plan. Review collected by and hosted on G2.com.
What do you like best about Gem?I really appreciate the ease of use of Gem; it's incredibly user-friendly. I also like how it integrates well with AI, making it a better solution overall for managing my candidate pipeline. Review collected by and hosted on G2.com.What do you dislike about Gem?I think the pricing could be better Review collected by and hosted on G2.com.
What do you like best about Gem?Gem's product really do cover end to end hiring process, all actions are quick and interface enables me to be very efficient in the review process. Review collected by and hosted on G2.com.What do you dislike about Gem?My budget expectations were a bit different, mainly when it came to the AI features. Review collected by and hosted on G2.com.
What do you like best about Gem?I love how easy it was to use and set up so implementation, features were great as well. Having candidates centralized and easy to access was amazing. Review collected by and hosted on G2.com.What do you dislike about Gem?i think the least i liked was for sure the features on mobile were not reactive so they were not the same as it is on your desktop and most times on the road its easier. Review collected by and hosted on G2.com.
What do you like best about Gem?I like how Gem brings the entire recruiting flow into one platform while automating many repetitive tasks recruiters usually spend hours on. The AI-powered sourcing and outreach features help me find qualified candidates faster and manage engagement at scale without losing personalization. I really value the automated follow-ups and candidate tracking, which make it easy to stay organized and ensure no strong candidates fall through the cracks. The scheduling automation saves significant time by coordinating interviews automatically. The analytics dashboard provides clear visibility into pipeline performance and outreach effectiveness. I also appreciate the unified view of candidate data, having sourcing history, communication, interview feedback, and pipeline status in one place makes collaboration with hiring managers much smoother. Overall, Gem helps streamline recruiting operations while giving data-driven insights that improve decision making. Review collected by and hosted on G2.com.What do you dislike about Gem?There is a bit of a learning curve when first setting up Gem, especially with workflows and outreach sequences for new users not familiar with sourcing automation tools. Some reporting features can feel slightly complex when trying to pull very specific or customized insights. Occasionally, syncing delays with integrations occur, which sometimes requires a manual refresh to ensure candidate information is fully up to date. I would also appreciate more flexibility in customizing dashboards and reporting views to match different hiring team needs. Review collected by and hosted on G2.com.
What do you like best about Gem?What stands out most is how intuitive and user friendly it is. Everything feels streamlined, which makes it easy to get started without a steep learning curve. The interface is clean, and the features are thoughtfully organized, so you’re not wasting time trying to figure things out. Review collected by and hosted on G2.com.What do you dislike about Gem?As the platform continues to grow, expanding flexibility and customization options would make it even stronger. Review collected by and hosted on G2.com.
Claude Pro Users: How do you actually maximize your subscription?
I recently subscribed to Claude Pro and I feel like I’m probably only using a fraction of what it’s capable of. My current use cases are: Deep research and brainstorming Business ideas and startup planning Long-form strategy discussions Creating project knowledge bases Writing prompts for large projects Analyzing workflows and finding inefficiencies I’ve heard people talk about: Projects Knowledge files Artifacts MCP servers Claude Code Context management Multi-chat workflows Agent-style setups But I’m not sure which ones actually provide the biggest productivity gains. For those who use Claude Pro heavily: What features give you the most value? What workflows completely changed how you use Claude? What mistakes do new Pro users make? How do you avoid hitting message limits too quickly? What tasks do you think Claude does significantly better than ChatGPT, Gemini, or other AI tools? If you were starting over today with a fresh Claude Pro subscription, what would you do first? I’m especially interested in advanced workflows, automation, business use cases, research systems, and anything that feels like a “hidden gem” most users don’t know about. Feel free to share screenshots, project structures, prompt templates, or examples of how you organize large-scale work inside Claude. Looking forward to learning from the users here. For context, I tend to be the type of person who builds systems, looks for loopholes, automates repetitive work, and experiments with business opportunities. If Claude has “10x leverage” use cases, I’d love to hear them. submitted by /u/Unhappy_Reception436 [link] [comments]
View originalClaude Fable 5 Finally 1-shots my hallucination benchmark that held until Opus 4.8 Max
As a software engineer with 25 years experien....who am I kidding. As a gamer who likes to indulge in all sorts of things, I have had a simple prompt to test the hallucination potential on the Opus models on my own "car wash drive" type of question. The prompt is about obtaining a level 21 vaal gem in the game Path of Exile 1: "describe the steps to obtain a level 21 corrupted vaal reave gem in path of exile 1". It intentionally duplicates corrupted and vaal to test the model's ability to 'double reason' on the request (all vaal gems are automatically corrupted). (For the correct solution, skip ahead to Fable's answer). Opus 4.6: https://claude.ai/share/30b8f1bd-8c4a-4813-b50d-6d6118a32c24 Opus 4.7: https://claude.ai/share/a3d89dbf-7685-439a-b21d-c809f565f834 Opus 4.8 (Max): https://claude.ai/share/51257039-fd64-4acf-8c79-ac60fa3f3adb Fable (Max): https://claude.ai/share/13966fdc-de59-4aee-b6ac-5b8bcff03546 While older models came close to the correct solution in "Method 2", Fable is the first model to one shot the answer and end with the sassy "Note you can't shortcut by corrupting a levelled Vaal Reave — it's already corrupted, so neither Vaal Orbs nor the Lens will accept it. The input must be the uncorrupted base gem.". Looking forward to where we go from here on the Mythos class of models. Do folks have their own secret benchmarks? submitted by /u/blitzk241 [link] [comments]
View originalWhen the AI coding agent thinks it only created a small problem
Have you ever had one agent write a bunch of code, another agent review it, debate which issues were false positives, fix the real ones, fix the tests, and only then find out the entire thing was built on a fundamentally flawed design from the start? submitted by /u/CedarMyers [link] [comments]
View originali gave claude godotiq and let it build a whole 3d game by itself, no human touched it
normally a coding agent is blind inside a game engine, it can't see the 3d scene so it just guesses and breaks things. godotiq is the mcp tool i make that fixes that, it gives claude real sight inside godot: place nodes in space, wire signals, run the game, read live state. so i handed it over and let claude build a game with zero help from me. what came out is marble gauntlet, a 3d marble platformer, two full levels with saws, spikes, a cannon that fires you across a chasm, gems and best times. physics, camera, menus, sound, hundreds of objects per level, all built by claude. no human placed a single node or wrote a line of gameplay code. play it → godotiq.com just a demo, left rough on purpose so you can see what it does unsupervised. with me actually working alongside it the thing would be a lot cleaner. and since it's my tool, free tier covers plenty but a full game like this needs pro, just being straight. submitted by /u/jf_nash [link] [comments]
View originalNeed help in automating with Claude
Not sure if this is the right sub to post this on, but I’m hoping to get some insights. I've been using ChatGPT Projects (not anymore) and Gemini (specifically custom Gems) for about a year to draft client reports. I want to try shifting my setup over to Claude, but I need some help figuring out if my ideal automation is actually possible with Claude Cowork and/or Dispatch tools. As of now, I write client reports using a .md template. The report pulls data from three places for each job which I ALL MANUALLY extract: A web-based CRM/ They also have a local software that can be installed (this is a legacy system with no API or connectors). A PDF invoice showing the costs and details of works done. A raw text transcript of the client's story. Right now, I manually log into the CRM, copy the case details, download the invoice, and bundle them with the transcript. Then I upload them to a Gemini Gem to format the .md file. It works, but manually grabbing the CRM data is time-consuming. The goal is that I want to a single prompt or even use Claude Dispatch on my phone to trigger Claude Cowork on my desktop (something like this): I message Claude on my phone or prompt it on my pc: "Generate report for Job 12345." It opens Chrome/the local software, log into the CRM, search for Job 12345, and copy the client info and CRM logs. It finds the local invoice and transcript for Job 12345 in a specific folder on my computer. It fills out my Markdown template and saves the draft on my desktop for me to review. I hope this makes sense. Appreciate any ideas or advice you guys have! Thanks! submitted by /u/SolisOrtus18C [link] [comments]
View originalTested 4 AI video generation MCPs in claude for making short clips
Hello everyone, recently I saw a lot of AI, especially GenAI, MCPs being launched. Out of the ones that I had an opportunity to test there were 4 I could consider worth trying out. Higgsfield AI mcp. the model coverage and claude comping up with ready scenarios is the main reason. one connection gets you sora 2, veo 3.1, kling, seedance 1.5 pro, nano banana, soul id. I've been able to get some gems using this. The problem is that if Claude doesn't understand you properly it can come up with something absolutely random or choose the most expensive models. kubeez mcp. also goes wide on models, similar pitch to the previous: image, video, music, tts in one place. i used it for batch work where i needed audio + visuals from the same chat. runway mcp. narrower scope, deeper on gen-4 specifically, which is why I don't really use it. the keyframe and reference image handling is solid in comparison, others tend to lose it. elevenlabs mcp. not video but i'm including it because every video workflow needs voiceover and this is the one that actually works end-to-end. claude writes the script, picks the voice, generates the audio. pairs well with any of the above. you will need it very frequently if you don't know/can't handle proper audio generation using higgsfield or runway. stack i settled on: higgsfield for the visuals, elevenlabs for better voiceover. what video mcps am i missing? happy to hear opinions submitted by /u/Mediocre-Witness-778 [link] [comments]
View originalHeard this gem from gpt-5.5 today
"Gross little centrist barnacle." Kind of taken aback when i read that, but it somehow still made a small amount of sense in a conversation we were having about technology. I guess it really is struggling to find other words that fill the void of goblin, gremlin or raccoon. submitted by /u/monkey_spunk_ [link] [comments]
View originalShould I buy Claude Pro over Gemini Pro?
Hi, I have been subsribed to Gemini pro (Google One or whatever its called). It's not really bad, I acctually find it more usefull than gpt. I'm student and I use it for multi-purpose (Question about a lot of random stuff, reasoning, proof and fact check, image analysis and using the image in context, light coding and the most important thing IDEAS and their breakdown). With the IDEAS part, I tried claude today for the first time and it managed to give me more realistic breakdown, more in depth analysis, better reasoning and graphically better answer (the boxes, priorities - it just looks more proffesional than any wall of text), than gemini. Which is like selling point to me. But after doing some reaserch, a lot of people are saying that you get more value from gemini and that claude is superior only in coding and whatever. I don't care about this, I use external tools for image generation and I don't use any gemini integrations in google apps. But the reason why I just didn't swap instantly and why I am posting this is concern about context lenght. I can't imagine context lenght (Sound silly I know), Gemini should have around 1M tokens and cloude "only" 200k tokens (source: https://gurusup.com/blog/claude-vs-gemini). How much does this acctually affect longer conversation? What is the equivalent of 200k tokens in real life (Like how long do you talk to someone). Does cloude halucinate after reaching that limit? Can I start a new chat with the context from the old one (Summarized, just like Gems function work on Gemini for larger projects)? Thanks in advance for answering my questions! submitted by /u/Playful-Ask-3330 [link] [comments]
View originalClaude FM
I emailed one of the musicians on Claude FM and he had NO idea his music was being used So for those who don't know, Anthropic recently started a 24/7 lofi/ambient music livestream on YouTube called Claude FM. The song titles and artist names show up in the top right corner of the stream. I've been listening in a lot lately and kept hearing this one artist, Ben Seretan, whose music honestly hits different very calming, great for focus. His stuff was coming on constantly, felt like significant part of the rotation. So I did some digging, found his email, and sent him a thank you note. He responded and literally asked "what Claude live stream were you watching?" he had zero idea. I have attached the email screenshots for your convenience. When I explained what Claude FM was and that his music was playing there non stop, his response was basically: "Wow. No, I truly had no idea how strange. I think I'm grateful? But I also think I'm not getting paid?" He then asked if I had any insight into how this happened or who put it together. Which now has me wondering... do any of the artists on Claude FM actually know their music is being used? And are they being compensated? The stream runs 24/7, it's got a huge audience about 1000 people a time, and it seems at least some of these musicians are completely in the dark about it. Has anyone looked into this? Would be good to get some clarity from Anthropic on how the licensing/permission side of Claude FM works, and atleast show some appreciation for these people creating such gems. submitted by /u/npcmalvin [link] [comments]
View originalKimi K2.6 giving Claude a run for its money when it comes to coding
I run an AI coding contest at [aicc.rayonnant.ai]( https://aicc.rayonnant.ai ) where I send each frontier model the same prompt in a single chat completion, then have the LLMs' code play live against each other on a TCP server. Standard library Python only, no human in the loop. Through 15 challenges, Claude (Opus 4.6 then 4.7) has 9 first-place finishes, easily the most. But the recent runs are worth flagging. Of the last four tournaments, Kimi K2.6 has finished 1st in three: - Day 12 — Word Gem Puzzle (writeup) Sliding-tile word claim game on grids 10×10 to 30×30, with one blank slot. Bots can slide adjacent tiles into the blank (4-directional) and claim words formed as straight horizontal or vertical runs of letter tiles. Score per word = len(word) − 6 (so 7-letter words score positive, 6-letter neutral, shorter negative). Round-robin 1v1, 5 rounds at increasing grid sizes per match. Kimi finished 7-1-0, 22 match points, 1st. Claude finished 4-0-4, 12 match points, 5th. The contrast is very on-the-nose: Claude's bot was authored with a docstring that reads "Read each round's grid; do not slide." The bot submits zero S (slide) commands across all 40 rounds Claude played. It scans the static initial grid for words and ships whatever's already there. On the small 10×10 grids that strategy is locally fine because the initial scramble rarely contains 7+ letter words. On the 30×30 grid, where most of the tournament's points live, that strategy averages 1.00 points per round. Kimi's bot is a 291-line greedy slide loop. Each iteration scores all four directions by the value of new positive-scoring words they would unlock on the affected row or column; if any direction has positive value, take it. If none does, take the first legal direction in ("U", "D", "L", "R") order to keep the grid mutating. Total slides across 40 rounds: 290,914 (≈7,300/round). Many of those slides are wasted oscillating against board edges in 2-cycles that find nothing new. But the productive ones average 5.88 points per round on 30×30 vs Claude's 1.00. Per-grid averages from the writeup: 10×10 15×15 20×20 25×25 30×30 Kimi 0.00 0.75 0.12 2.88 5.88 Claude 0.00 0.38 0.25 1.38 1.00 The two bots solve effectively different problems. Kimi treats the puzzle as the puzzle (slide tiles, claim words, repeat). Claude treats it as a grid-scanning task and refuses to slide on principle. Day 13 — HexQuerQues (writeup) Two-player capture game on four concentric hexagons connected by radial spokes (24 vertices total, 6 pieces per side starting on the outer two rings). Classic Alquerques rules: slide one step along a board line; capture by jumping an adjacent enemy along that same line; captures are forced and chains are mandatory. Win by capturing all 6 enemies or stalemating the opponent. Round-robin of 1v1 matchups, 2 games per matchup with first-mover swapped, 30-second chess clock per side per game. Three-way tie at 21 match points among Kimi, Gemini, and ChatGPT (all 6-3-0). Kimi took 1st on tiebreak by a single capture: 46 vs Gemini's 45. Claude was 4th at 20 match points (6-2-1), with one matchup loss to Gemini being the only top-4-on-top-4 loss in the entire tournament. Both Kimi and Claude implemented the same family of solver: alpha-beta minimax with iterative deepening. The difference is what each one wrapped around it. Kimi's bot is 364 lines: negamax with alpha-beta and iterative deepening, per-decision time budget that scales by remaining clock, a flat I/O loop. That's it. Claude's bot is 749 lines, more than 2× Kimi's. The bloat goes into: A 103-line evaluation function (material × ring-weight × threatened-piece detection). A separate Searcher class. A 150-line BotClient class wrapping a state machine that the other top bots handle in a flat loop. A 53-line reconstruct_move helper. An undo_move companion to apply_move for in-place search rollback. A precomputed JUMPS adjacency table. In the actual games, the two bots played comparably (both 11 game wins, both 0 capture-all losses to other top-4 bots; Claude even captured 47 pieces to Kimi's 46). But Claude lost a single matchup to Gemini 1-0, the only top-4 bot to lose a matchup to another top-4 bot. Without that one loss, Claude would have shared the 21-match-point tie. The over-engineering didn't translate into stronger play; it apparently allowed one strategic mistake the leaner bots avoided. Authoring detail: Claude's bot had to be regenerated once because the first generation pass entered an infinite chain-of-thought loop. Kimi's first pass produced its 364-line bot directly. Day 15 — SquishyWordBits (writeup) Bit-packing puzzle. Letters are encoded as variable-length binary numbers: a=0, b=1, c=10, d=11, e=100, … z=11001. The encoding is not prefix-free, so the same bit substring can correspond to multiple letter sequences. Bots find non-overlapping word encodings as substrings of a 10,000-to-20,000-bit uniform-random bitstream. Score per accepted word
View originalGot this absolute gem of a response from Claude
Since when did Claude have a jd😭 PS. I did add instruct for it to act as software development advisor. But I didn't expect me to refuse to do it outright lol submitted by /u/Low_Original_1247 [link] [comments]
View originalWhy do AI responses get worse after a while of working on them? And what to do with it
AIs have a known problem (it's called context rot): the longer the chat, the worse the responses. Even staying on the same topic. The model begins to confuse old decisions with new ones, re-proposes ideas that have already been discarded, loses the thread of what is current and what is not. It's not a bug, it's how they work. More context to manage, more noise in reasoning. The solution I use: divide the work into multiple chats carrying only the context you need. The basic mechanism is simple: when a chat gets too long, I ask the AI itself to produce a brief of what we said to each other - decisions made, rational, current state. No noise, just the status quo. Then I open a new chat, paste the brief and start from there. This works for both one-off jobs and ongoing projects. In the second case I add a level above: An overview of the project always available. On Claude I put it in the Projects: either directly in the system prompt, or in a knowledge base document referenced by the system prompt. ChatGPT has GPTs, Gemini has Gems - the principle is the same. If you don't use Projects, that's fine too: keep the overview in a separate document and paste it at the beginning of each new chat. Peripheral briefs for each specific topic. Short documents, with the updated status quo (not the changelog) and the rationale for the decisions taken. No more and no less than what is needed. A chat for each work phase. As a rule of thumb, after about twenty shifts it is already time to evaluate whether to close and open a new one starting from the updated brief. If you notice that the responses start to get worse, it's already late. What changes, in practice: – The answers remain lucid because the model does not have to dig through 200 messages. – Hallucinations are reduced because the context is clean and verified. – Credits last longer because you don't pay to reread kilometer-long chats every turn. The principle underneath it all: bring no more and no less than the context needed to make the decision. The chat is not an archive to accumulate. It is a reasoning tool. And like any tool, it performs better if you keep it clean. submitted by /u/kappadielle [link] [comments]
View originalInstagram reels web scrapping
Hey guys, I'm not a programmer and I don't have deep knowledge with Claude Code, but I was trying to use it to watch and take notes for me about a bunch of Instagram reels I saved. Sounds dumb, but I love saving reels about travel tips, specific destinations, hidden gems, that kind of stuff. What I usually do is save posts into folders inside Instagram, and then one random day I sit down and manually take notes about every cool place I found, pin them on a map, try to figure out the best route between them, check if certain activities can be done on the same day, how long each one takes, etc. I was hoping Claude could cut some of that work for me, watch the reels, extract the destinations and tips, and organize everything into Obsidian notes so its easier to see correlations between places. And I think short-form video is actually really valuable for this kind of thing. A lot of those reels are personal takes on places, someone sharing a hidden restaurant they stumbled upon, or a viewpoint thats not in any guidebook. That kind of experience usually doesnt make it to blogs or travel articles, it just lives in a 30 second reel and kinda disappears. So id love to actually capture and keep that knowledge somewhere. The problem is I sent Claude a bunch of reel links and it said Instagram blocks any external access without a logged in user session. So it cant read anything. Also worth mentioning, im not actually planning a trip right now. Im just collecting dream places that maybe, if I save enough money, I can backpack to in 2 or 3 years. So this is more of a long term travel brain im trying to build than an actual itinerary. Anyone solved something like this? Is there a way to get the captions or transcripts out of saved reels without copying them one by one manually? He gave the idea of downloading them, and using "whisper" to get the transcript audio from it and make the .md Downloading seems like too much job, but maybe if i record my screen, turn on auto play on reels and upload a bigger video it may work. There's a better way (than this whisper that he told me to use) to get data from the visual aspect+audio at the same time ? I'm very enthusiastic about this idea of webscrapping and, as an engineer, i'm really liking the idea of developing some stuff submitted by /u/_juraylan [link] [comments]
View originalBuilt a set of skill files for Claude and Gemini that make every session start warm instead of cold
One thing that frustrates me about most AI workflows is the cold start problem. Every new session you re-explain your business, your voice, your clients. I started solving this with skill files. A skill file is a markdown document you upload to a Claude Project or paste into a Gemini Gem. It holds your context permanently so you never re-explain anything. The three I use most: brand-voice.md: defines tone, writing rules, and platform-specific formatting client-router.md: when you say a client name, Claude loads their full project context automatically seo-aeo-audit-checklist.md: structured audit that scores any website out of 100 across 7 sections including AI search visibility Anyone else using a similar system? Curious what context you keep persistent across sessions.
View originalI'm building a guide for the "Free Version" of Claude, what are your best "hidden" tips for Artifacts and Projects and skills?
I've been using Claude for 2 years for basic brainstorming, but I've realized I've been ignoring the powerful stuff like Artifacts and custom instructions. I'm putting together a "Masterclass" for people who don't want to pay for Pro. What’s one feature, tip, or "skill" that completely changed how you use the free version? I'm trying to compile the most efficient, non-paid workflows to help others get the most out of the base model. Let’s share some hacks. And if you do follow some creators out there with absolute gem content on AI and not just slop, please mention them so i can check them out. Thank you in advance..... submitted by /u/Senpai_Ankit [link] [comments]
View originalPricing found: $720
Gem has an average rating of 4.1 out of 5 stars based on 20 reviews from G2, Capterra, and TrustRadius.
Key features include: talent acquisition teams, For Startups, Gem All-in-One, For Growth, For Enterprise, Enhance Your Existing ATS.
Gem is commonly used for: Gem All-in-One, Enhance Your Existing ATS.
Gem integrates with: LinkedIn, Greenhouse, Lever, Workable, BambooHR, Jobvite, SmartRecruiters, Zapier, Slack, Gmail.
Based on user reviews and social mentions, the most common pain points are: usage monitoring, token usage, API costs, llm.
Julien Chaumond
CTO at Hugging Face
2 mentions

Hired up: How to stop wasting weeks on wrong candidates
Mar 19, 2026
Based on 100 social mentions analyzed, 21% of sentiment is positive, 67% neutral, and 12% negative.